Original article

 

 

 

 


THE IMPACT OF STRUCTURAL COMPLEXITY ON KNOWLEDGE MANAGEMENT PROCESSES: A CASE STUDY OF THE FRIENDSHIP OPHTHALMOLOGY HOSPITAL ALGERIA CUBA IN DJELFA

 

EL IMPACTO DE LA COMPLEJIDAD ESTRUCTURAL EN LOS PROCESOS DE GESTIÓN DEL CONOCIMIENTO: UN ESTUDIO DE CASO DEL HOSPITAL OFTALMOLÓGICO DE LA AMISTAD ARGELIA CUBA EN DJELFA

 

 

Mokhtar Rabhi I   https://orcid.org/0000-0002-0284-8844

Ahlam Thamri I  https://orcid.org/0000-0002-0387-6927

Mohammed Said Djoual I  https://orcid.org/0000-0002-4862-3712 

Rima Affaf Harizi I  https://orcid.org/0009-0000-6166-6971.

Souaad Ben Messaoud II  https://orcid.org/0000-0001-8171-9997

 

I Ziane Achour University of Djelfa, Djelfa, Algeria.

rabhi@univ-djelfa.dz, ahlam.tamri@mail.univ-djelfa.dz, s.djoual@mail.univ-djelfa.dz,  ra.harizi@univ-djelfa.dz 

 

II University of Djelfa, Djelfa, Algeria.

s.benmessaoud@univ-djelfa.dz,         

 

* Author to address correspondence: rabhi@univ-djelfa.dz

 

Classification JEL: C42, C51, H75,

 

DOI: https://doi.org/10.5281/zenodo.1336436

 

 

Received:  27/07/2024

Accepted: 14/08/2024

 

Abstract

 

The hospital is a complex system that includes several variables, and knowledge represents the most critical input that interacts in order to effectively meet patients' needs. The study sought to empirically test the relationship between structural complexity and its dimensions: horizontal differentiation, spatial differentiation, vertical differentiation and knowledge management processes: acquisition, storage, distribution, and application among a sample of workers at the Friendship Ophthalmology Hospital Algeria Cuba in Djelfa. A questionnaire was designed to collect data from the study sample, and the data was processed and analyzed based on the SPSS 22 and Smart Pls 4 programs. The study yielded results, the most important of which are: There is a significant effect of horizontal and spatial differentiation on Knowledge management processes in the hospital. The study recommends adopting information and communication technology and integrating it into various hospital operations to simplify healthcare practitioners' tasks

 

Keywords: horizontal differentiation, spatial differentiation, vertical differentiation, knowledge management, hospital.

 

Resumen

 

El hospital es un sistema complejo que incluye varias variables, y el conocimiento representa el insumo más crítico que interactúa para satisfacer eficazmente las necesidades de los pacientes. El estudio buscó probar empíricamente la relación entre la complejidad estructural y sus dimensiones: diferenciación horizontal, diferenciación espacial, diferenciación vertical y procesos de gestión del conocimiento: adquisición, almacenamiento, distribución y aplicación entre una muestra de trabajadores del Hospital Oftalmológico de la Amistad Argelia Cuba en Djelfa. Se diseñó un cuestionario para recolectar datos de la muestra de estudio, y los datos fueron procesados y analizados con base en los programas SPSS 22 y Smart Pls 4. El estudio arrojó resultados, los más importantes son: Existe un efecto significativo de la diferenciación horizontal y espacial en los procesos de gestión del conocimiento en el hospital. El estudio recomienda adoptar tecnologías de la información y la comunicación e integrarlas en diversas operaciones hospitalarias para simplificar las tareas de los profesionales sanitarios.

 

Palabras clave: diferenciación horizontal, diferenciación espacial, diferenciación vertical, gestión del conocimiento, hospital.

           

Introduction

 

The features of competition in the world today include health care services as a pivotal dimension to which priority is given.1 Hospital management constitutes a complex system, and healthcare quality is considered its most significant outcome. It is linked to several variables: healthcare service providers, structural characteristics, healthcare equipment, professional protocols, and Coordination mechanisms between healthcare professionals and patients.2 On the other hand, hospitals face the pressures of providing appropriate health care to many patients and the corresponding limited time resources.3 Therefore, all healthcare systems are required to provide adequate services based on a timely response to gain the satisfaction of their customers.4 This requires changes in structural relationships and roles to overcome the difficulties that arise in health care.5 Thus, complexity imposes itself in the healthcare environment to include the required knowledge behaviours, mechanisms for translating knowledge into practical practices, and ways to facilitate its application.6

 

The concept of structural complexity

 

Structural complexity measures how functions differ in aims, task orientation, and autonomy.7 It also concerns how mechanisms allocate and manage tasks.8  Structural complexity is associated with tasks that require multiple paths and solutions, differentiated goals, and a volatile environment.9 Therefore, structural complexity corresponds to tasks that are challenging to complete because they are unfamiliar and non-routine, necessitating specialized knowledge and the ability to deal with novel problems. The complexity is related to an internally uncertain task environment, and the amount of information at the workplace level needs to be increased, as it requires participation between co-workers and the formation of work teams to address it.10

 

In the classical literature, the structural complexity is limited to the heterogeneity and lack of interdependence between tasks, which necessitates the fragmentation and division of administrative responsibilities and the analysis of administrative tasks to facilitate coordination between complex tasks.11 Fredrickson( 1986)12 pointed out that structural complexity is represented by the difficulty of agreeing on goals and the lack of unification and consensus on how to reach them. Hence, Structural complexity is the performance of unusual tasks that require cooperation between groups in the organization and the exchange of information, so organizations were encouraged to participate as a group work, which is more valuable than individual work in terms of the ability to understand the issue, define its dimensions, and make a decision on it.13,14 Structural complexity can be understood as situations where no individual can handle organizational decisions alone. It also includes jobs that require mutual adaptation rather than standard rules, standards, and practices to standardize behaviour.15 In other words, structural complexity is limited to tasks that require access to specialized training and experience, division of responsibilities, and empowerment of individuals, as opposed to simple and routine tasks.16

 

Forms of structural complexity

 

Nevertheless, structural complexity is a response and reaction to the complexity of the organization's internal or external environment. The internal environment consists of the people, processes, and technologies that constitute the basic strategy of the organization. The external environment includes what the organization must respond to regarding customers, markets, suppliers, and competitors.17 Complexity includes three forms of differentiation. Horizontal differentiation refers to the degree of separation between organizational units based on the skills of individuals and the nature of their tasks that require specialized knowledge. Thus, the complexity of the organization increases with the increase in the difference in occupations within the organization. Vertical differentiation relates to the depth of the organizational structure, which is explained by the number of hierarchical levels in the organization. Vertical differentiation is a response to increased horizontal differentiation. In contrast, spatial differentiation refers to the degree to which an organization's activities, offices, and staff are dispersed in different locations.18

 

Hall (1968)19 claimed that differentiation in a job is primarily related to the variety of attitudes and behaviours of the organization's personnel, which results in different orientations towards precise goals, diverse viewpoints, and specific skills. Accordingly, the complexity must be studied through a multidimensional approach that includes the characteristics and nature of individuals and decision-making approaches in addition to the contextual factors of the organization, such as technology, size, and culture.20 Thus, structural complexity is a degree of internal division into parts of the organization. The indicators used to measure it are the number of general objectives of the organization, the number of departments and departments in the organization, the number of hierarchical levels of the organization, and the degree of dispersion of physical facilities and employees and their locations.21

 

In addition, the type of organization differs from the structural complexity according to the following indicators:

 

Characteristics of complex organizations

 

As a result, the design of more complex organizations requires relatively decentralized and less formal structures to increase the information exchange between the organization's members within the framework of informal organization spontaneously due to the interaction of individuals among themselves.22

 

Some researchers claim that high structural complexity facilitates innovations.23 Structural complexity also contributes to the organization's effectiveness through strict supervision of the activities of subordinates.24 It is associated with the complexity of the organization's tasks and results in increased training.25 Moreover, organizations with more complex structures have an increasing rate of managerial communication between departments and also need a high flow of information and accurate diagnosis of organizational situations.26,27 Thus, structural complexity requires an integrated system, data from different sources, resources and procedures for reasonable control in this system, and the harmony of the organization's internal organization between its various units and individuals is necessary.28,29 Without a doubt, the design of structural complexity is characterized by multiple hierarchies to try to reduce errors at the organizational levels.30

 

Structural complexity and contextual factors of the organization

 

Generally, the degree of variation in structural complexity between organizations is explained by contextual factors: technology, size, environment, culture, and strategy. In organizations applying complex technology, the appropriate structure is the organic structure, and technology-specific organizational units are developed for work methods to be compatible with technological changes.31 In the same context, when the size of the organization increases, it corresponds to an increase in the number of employees, the diversity of the organization's functions, and the multiplicity of the locations of the organization's departments, which creates the difficulty of coordination between them and it is necessary to formalize in order to program the behaviour of the organization's personnel.32 Organizations require different information in quantity and type according to the context of the environment in which it operates.33

 

Organizations operating in a complex environment must make decisions against ambiguous information, rapid change, and more ability to predict results.34 In addition, each organization has its appropriate values, ideas, and beliefs to regulate the behaviour of individuals so that the work is done. Implementing organizational activities is a guiding principle.35 To achieve the organization's goals, leaders must have a complete and diverse understanding of the organization's culture.36 Also, for the organization to exploit the range of available opportunities, it must adapt the rules and procedures of the structural design following its strategic choices.37 Strategy is a complex structure that reflects the interactions of the organization's parts and resources with its internal and external environment.38 Accordingly, organizations with complex strategies seek to be more flexible and adaptive to the changes surrounding them.39

 

Organizational structure and knowledge management processes

 

The success of organizations and enhancing their competitiveness requires the adoption of systematic coordination of knowledge operations departments and control of the barriers that hinder them, whether internal barriers such as organizational structure and culture or external environmental factors. The organizational structure provides options for managing knowledge processes and the correct course from the beginning knowledge creation until its implementation.40 Therefore, organizations work to find dependent relationships between their departments to acquire knowledge from various internal and external sources and preserve their knowledge resources.41

 

The concept of knowledge and knowledge management

 

Knowledge is a combination of experience, values, and information that arises in the minds of individuals.42 It is a translation of the values, principles, and cultural norms of the organization's members that are embodied and organized according to its structure.43 However, knowledge management is a set of procedures and methods for creating, assembling, and applying knowledge following the principles of designing the organization to achieve the planned goals.44 It is also the process of the organization's awareness of its individual and collective knowledge and working on directing it to achieve sustainable excellence.45 Knowledge management allows acquiring knowledge from various internal and external sources and distributing it among the organizational levels to benefit from it effectively.46 It also allows the organization to create, organize, disseminate, and apply knowledge to meet its challenges and develop methods, techniques, and organizational values that enhance the flow of knowledge among individuals.47 Thus, knowledge management is an integrated system that creates and applies knowledge to serve the organization's goals.48 Consequently, Knowledge management represents a set of organizational activities and processes, the aim or purpose of which is to create knowledge and work to preserve it, in addition to transferring and sharing it until it is applied in the organization.

 

Organizational knowledge mediates the relationship between an organization's contextual factors, such as strategy, structural design, and the culture of its people.49 It is the strength and basis of competition between organizations, and excellence lies in managing it properly to keep pace with changes in the business environment.50 Knowledge varies according to the individual and accumulates through the knowledge base acquired by the individual.51 It is not limited to exploiting existing knowledge but generating new knowledge that serves the organization's goals is possible.52 Structural complexities characterize the types of knowledge. Explicit knowledge is formal and systematic, which is expressed in words or numbers and can be documented or stored in databases.53 Unlike tacit knowledge, it is knowledge that is rooted in the minds of individuals, such as technical skills, where it is difficult to encode and store.54 Tacit knowledge is reflected in the actions and behaviours of the organization's members.55

 

The tacit knowledge is transformed into explicit knowledge through dialogue between the organization's members.56 Among the obstacles to converting tacit knowledge into explicit knowledge is the opportunism of individuals for knowledge and a desire for power. Also, the organizational structure relies on high specialization, which hinders interactions between individuals, the improper establishment of powers, overlapping goals, and lack of motivation for individuals. The way of planning and physical distribution of offices affects the way of communication between individuals.57

 

Knowledge management processes

 

Organizations practice their activities in knowledge management through knowledge acquisition, knowledge storage/retrieval, knowledge sharing, and knowledge application. Knowledge acquisition is the process of obtaining knowledge from various internal or external sources, as it is considered a strategic commitment to the organization.58 Storage/retrieval of knowledge refers to preserving existing knowledge based on traditional means such as written documents or advanced technology such as databases.59 Sharing knowledge is represented in the exchange of knowledge between the organization's members in formal ways, such as through reports and notes or informal organizations of individuals in the work environment.60 Thus, knowledge sharing is related to the coordination mechanisms between the units adopted by the organization.61 Supervisors in the organization are considered the essential sources for sharing and distributing Their knowledge to the subordinates.62 At the same time, applying knowledge refers to using the existing knowledge base in the organization to solve organizational problems and achieve added value.63 In this regard, by tracking knowledge management processes, the most crucial process is the application of existing knowledge and its embodiment in the field. Knowledge without application does not create added value for the organization.

 

Organizational design and supporting knowledge management processes

 

In addition, the organizational structure is a supportive mechanism for knowledge management processes. Organizations adopt organizational structures that allow the creation of diverse knowledge and its flow in all parts of the organization easily without any obstacles to working on merging and coordinating between them, adopting flexible structural designs that promote team behaviour and encourage collaboration and knowledge sharing, providing knowledge infrastructure that works on the effective division of responsibilities and the use of guidelines that help in the effective management of knowledge operations.14,64,65

 

 As well as adopting the horizontal organizational structure and administrative empowerment policies for sharing and distributing knowledge in the organization, designing a motivating work environment for individuals, and increasing interactions to exchange knowledge.66,67

 

C. J. Chen & Huang( 2007) illustrated that the organizational structure is one of the elements of the organizational climate that affects knowledge management processes and contributes to the embodiment of social interaction, which appears more in decentralized and less formal organizations.40 The organizational structure also positively affects the sharing and application of knowledge among the organization's members.64 stated that the difference in knowledge management processes is according to the different structural designs approved by the organization and the adoption of flexible structural designs that encourage interactions between individuals to share knowledge and effectively manage it. According to Bhatt(2001),66 the hierarchical organizational structure hinders the flow of knowledge in contrast to the horizontal structure that contributes to sharing knowledge across organizations.

 

It is also possible to utilize the characteristics of structural complexity to advance knowledge management goals. Knowledge management practices follow the organizational structure's design mechanisms in this context. In structurally complex organizations, knowledge is fragmented between departments and units, which necessitates the creation of special units in the structure to capitalize on the knowledge. It happens according to the specificity of the organization and its knowledge needs.68 Furthermore, the most critical barriers to knowledge sharing in organizations are individual, technological, and organizational barriers. The importance of the flexible structure as a supporter of knowledge sharing, and organizations should study the obstacles to employee communication and knowledge sharing.69 For instance, most studies agree on the interdependence and integration between flexible structures and knowledge management processes. However, the specificity of the activity of some organizations does not enable them to adopt flexible structures because they need to meet the current and future requirements of the organization. Therefore, the appropriate strategic options impose the adoption of structural complexity in its dimensions and an attempt to reconcile it with Knowledge management processes.

 

Materials and Methodology

 

The study literature and information related to the dimensions of structural complexity and knowledge management require the organization appropriate to the problem to have its outputs based on the skills and knowledge of its individuals rather than organizations based on simple tasks that require mutual adaptation and unification of individuals' behaviors. Thus, the Algeria- Cuba Friendship Ophthalmology Hospital in Djelfa, Algeria, is the appropriate organization to study the research problem.

 

The questionnaire was designed based on previous literature related to the study variables. In the first stage, we obtained the acceptance of the hospital's general director for the field study procedures and determined a time frame for them. Among the receiving organization's amendments, the hospital administration stipulated that the questionnaire must be in Spanish as the hospital's doctors' native language. Then, the hospital's Cuban party coordinator received the first final version for arbitration. Based on his opinions, the content was modified. Hence, some items that did not comply with hospital policy were deleted, and others were drafted to their final form.

 

Among the most significant proposed amendments. The item "My work involves a great deal of interaction with people outside the hospital." The item "I find it challenging to communicate with my colleagues in the hospital." was changed to “I interact with my colleagues in the hospital." reformulating the item, "I get the knowledge I need to work in the hospital by myself." to "I know the necessary to do in my work in the hospital on my own." Deleting the item “The hospital relies on the archive to preserve knowledge." As for the study population, the questionnaire distribution was limited to a certain number of the population, and the hospital administration took responsibility for that. Also, most of them were reluctant to answer.

 

The first purpose of this research is to know the responses of the sample members to the various items of the scale contained in the questionnaire. Then, to conclude the sample direction for each item of the study. The research relied on a five-point Likert scale based on 5 points. Table 1 shows this.

 

Table 1. Five-point Likert scale tool

Scale

Level

Range

1

Never

[00,1-1,79[

2

Rarely

[80,1-2,59[

3

Occasionally

[60,2-3,39 [

4

Frequently

[40,3-4,19[

5

Always

[20‎‎,4-5,00]

 

Statistical analysis of the sample’s views

 

Structural complexity variable

 

It is clear from Table 2 that item 04, “My employment requires me to analyze hospital information.” is the highest among the means, with a mean of 3.2400 and a standard deviation of 1.42244. The trend of this item may be explained by the difficulty of meeting the needs of patients and the lack of ways to standardize the response to different conditions and health problems. It is consistent with De Jonge et al.( 2001)70 study that concluded that in order to manage hospitals successfully, the latter requires complex knowledge as a result of the impossibility of adopting a unified diagnosis for all patients, the multiplicity of therapeutic interventions and consultations, and the need for strong coordination between various medical staff, including doctors and nurses. In addition, item No. 03, "The outcomes of my work contribute to the hospital careers of others." came in last place, with a mean of 2.9200 and a standard deviation of 0.996660. This result refers to the difficulty of relying on the results of the various components of the staff and the need for more cooperation between the various organizational units in the hospital.

 

                                     Table 2. Horizontal differentiation dimension

No.

Item

Mean

SD

Trend

1.        

It took time to learn the equipment used in the hospital.

Me tomó tiempo aprender el material que se usa en el hospital.

2.2400

1.36260

Rarely

2.        

I use a variety of skills in the hospital in order to complete my work.

Uso una variedad de habilidades en el hospital para completar mi trabajo

3.1200

1.39403

Occasionally

3.        

The outcomes of my work contribute to the hospital careers of others.

Los resultados de mi trabajo contribuyen al trabajo de los demás.

2.9200

0.99666

Occasionally

4.        

My employment requires me to analyze hospital information.

Mi trabajo requiere que usé y analicé mucha información en el hospital

3.2400

1.42244

Occasionally

5.        

The organizational goals in the hospital are multiplicity and diversity depending on the diversity of the departments.

En la organización del hospital, cada departamento tiene una serie de objetivos diversos. 

3.0400

1.30639

Occasionally

Source: elaborated by researchers based on outputs of SPSS 22 software.

 

Table 3 shows item No. 10, "Information flows in the hospital to multiple administrative levels." is the highest among the means, with an arithmetic mean of 3.1600 and a standard deviation of 1.59896. The trend of this item directs to the multiplicity of hierarchical levels, the engagement of decision-making authority with the manager, and the lack of work on the principle of delegation. The research of Parand et al.(2014)71 concluded that one of the tasks of hospital managers is to make decisions and formulate various administrative procedures and policies that ensure the provision of quality healthcare services. Also, Item No. 08: "There is more than one official in the hospital from whom I take orders." It came with an arithmetic mean of 2.6000 and a standard deviation 1.58114. The trend of this item is explained by the multiple scopes of supervision for each individual due to the overlapping of the responsibilities assigned to them. Furthermore, it refers to the need for more understanding of them completely and correctly.

 

Table 3. Vertical differentiation dimension

No.

Item

Mean

SD

Trend

I find it challenging to communicate with the upper levels of hospital administration.

Me resulta difícil comunicarme con los niveles superiores de la administración del hospital.

1.8400

1.24766

Rarely

There are multiple steps to permit the completion of my duties in the hospital.

Hay varios pasos para autorizar el cumplimiento de mis funciones en el hospital.

2.9200

1.57903

Occasionally

There is more than one official in the hospital from whom I take orders.

Hay más de un funcionario en el hospital de quien recibo indicaciones.

2.6000

1.58114

Occasionally

The hospital management reviews the organizational relationships between the administrative levels continuously.

La dirección del hospital revisa las relaciones organizativas entre los niveles administrativos de forma continua.

2.7600

1.20000

Occasionally

Information flows in the hospital towards multiple administrative levels.

La información fluye en el hospital hacia múltiples niveles administrativos.

3.1600

1.59896

Occasionally

Source: elaborated by researchers based on outputs of SPSS 22 software

 

Table 4 depicts item No. 12. "The hospital's activities are spread over different locations." is the highest among the means with an arithmetic mean of 3.6400 and a standard deviation of 1.52425. The trend of this item was frequent. Thus, spatially dispersed units and departments require effective coordination, as each patient is subject to fragmented health services across the hospital's physical locations. Tamuz & Harrison( 2006)72 claim that hospitals are unique in their organization compared to other departments and the interaction of their parts in an organized and bureaucratic manner to achieve multiple goals within the framework of a complex and distinct system. The item "The hospital's activities are spread over different locations." came last. The trend of this item was rare. Hence, the hospital is activating multiple medical specialties, which makes it difficult to cooperate and work collectively with parties outside the hospital's affiliation. In this regard, Mamédio & Meyer (2020)73 argued that high complexity exists in hospitals due to several factors, the most important of which are the specificity of the services provided, the techniques and technology used, the type of skills and knowledge required, and unexpected situations.

 

Table 4. Spatial differentiation dimension

No.

Item

Mean

SD

Trend

The hospital assigns the completion of some tasks to other institutions to achieve them better.

El hospital asigna la realización de algunas tareas a otras instituciones.

2.0800

0.99666

Rarely

The hospital's activities are spread over different locations.

Las actividades del hospital se reparten en diferentes servicios

3.6400

1.52425

Frequently

I interact with my colleagues in the hospital.

Me relaciono con mis compañeros en el hospital.

3.2800

1.54164

Occasionally

Source: elaborated by researchers based on outputs of SPSS 22 software

 

Generating and acquiring knowledge

 

Table 5 above states that in item 16, " I get the knowledge I need to work in the hospital by myself." It is the highest among the averages, with an arithmetic mean of 3.2400 and a standard deviation of 1.56205. The trend for this item was occasionally. It explains that the complexity in hospitals encourages work based on a shared vision of knowledge and expertise and the formation of work teams that promote finding solutions to patients' cases. In the same context, Costa et al.'s ( 2014)74 study confirms that one of the most critical challenges healthcare workers face is finding the correct diagnosis for patients' cases based on their knowledge.

 

Table 5. Knowledge management axis

No.

Item

Mean

SD

Trend

The interaction between me and my colleagues increases the generation of new knowledge in the hospital.

Existe un intercambio entre mis colegas y yo para generar nuevos conocimientos e ideas en el hospital.

2.8800

1.36382

Occasionally

I participate in teamwork to gain new experiences in the hospital.

Participo en trabajo en equipo para adquirir nuevas experiencias en el hospital.

2.8400

1.28062

Occasionally

I get the knowledge I need to work in the hospital by myself.

Tengo los conocimientos necesarios para realizar mi trabajo en el hospital por mi cuenta

3.2400

1.56205

Occasionally

4. 

Training programs in the hospital help me to acquire new knowledge.

Los programas de formación en el hospital me ayudan a adquirir nuevos conocimientos.

2.4400

1.22746

Rarely

5. 

I write down the experiences I do in the hospital.

Anoto las informaciones que hago en el hospital.

2.7200

1.36991

Occasionally

6. 

The hospital uses software to store knowledge.

El hospital utiliza software para almacenar conocimiento.

3.0400

1.39881

Occasionally

7. 

I keep my colleagues updated on the knowledge I gain in the hospital.

Mantengo actualizados a mis colegas sobre los conocimientos que adquiero en el hospital.

3.2400

1.20000

Occasionally

8. 

The hospital seeks to facilitate sharing knowledge with my colleagues by organizing training courses.

El hospital busca facilitar el intercambio de conocimientos con mis colegas mediante la organización de cursos de formación

1.8800

.88129

Rarely

9. 

I use the technological facilities to share knowledge with my colleagues in the hospital.

Utilizo las instalaciones tecnológicas para compartir conocimientos con mis compañeros del hospital.

2.4000

1.41421

Rarely

10.    

The Internet is the most important means of delivering knowledge in the hospital.

En el hospital, Internet se utiliza como el medio más importante para transmitir conocimientos.

3.0400

1.61967

Occasionally

11.    

I help my colleagues apply their knowledge in the hospital.

Ayudo a mis compañeros a aplicar sus conocimientos en el hospital.

2.8400

1.21381

Occasionally

12.    

The hospital administrators continually assess my knowledge.

Estoy sujeto a evaluación continua por parte de los jefes de hospital para asegurar mis conocimientos.

2.0000

1.04083

Rarely

Source: elaborated by researchers based on outputs of SPSS 22 software

 

Knowledge storage

 

Item No. 19: “The hospital uses software to store knowledge.” It is the highest among the averages, with an arithmetic mean of 3.0400 and a standard deviation 1.39881. This item trend was occasionally. This result is explained by not relying entirely on technology to store knowledge, as there is implicit knowledge due to complex experiments to extract and declare. For instance, according to de Zwart et al.( 2023)75 research, the complexity of hospitals requires adapting to changing circumstances and making decisions that require special knowledge and skills to deal with cases and their various treatment options.

 

Share knowledge

 

Item No. 20 states, “I keep my colleagues updated on the knowledge I gain in the hospital.” is the highest among the means, with a mean of 3.2400 and a standard deviation of 1.20000, and the trend for this item was occasionally. It is explained that to value the customary storage in the hospital, the tacit knowledge of individuals must be brought out through dialogue and informal organizations in the hospital. This is confirmed by item 22, “I use the technological facilities to share knowledge with my colleagues in the hospital.” which came in last place. This is consistent with Lee et al. 2014 study,76 which claimed that good hospital performance outcomes are associated with a solid organizational culture promoting knowledge sharing.

 

Application of knowledge

 

Item No. 24, “I help my colleagues apply their knowledge in the hospital.” is the most increased among the means, with a mean of 2.8400 and a standard deviation of 1.21381. The trend of this item was occasionally. It can be explained by the fact that the complex structure of the hospital results in the isolation of departments and may not allow for common spaces between individuals to exchange information and disseminate best practices for applying knowledge.

 

Study model

 

The model is established by studying the impact of structural complexity and its dimensions on knowledge management processes at the Friendship Algeria Kuba Ophthalmology Hospital in Djelfa. The study model was proposed using the structural equation modelling method using the partial least squares method. The study includes an independent variable related to structural complexity in three dimensions (Figure 1). The dependent variable relates to the knowledge management dimension. Table 6 depicts this:

 

Table 6. Items model description

Dimension

Items

Horizontal differentiation

Hori1, Hori2 ,Hori3 ,Hori4

Vertical differentiation

verti1, verti2, verti3, verti4 ,verti5

Spatial differentiation

Spati 1,Spati2 ,Spati 3

knowledge management

Know1,Know2,Know3,Know4,Know5,Know6,

Know 7,Know8,Know9,Know10,Know11,Know12

Source: elaborated by researchers based on outputs of smart pls 4 software

 

 

 

 

 

Figure 1. PLS-Model building

Source: elaborated by researchers based on outputs of smart pls 4 software

                                              .

Study model test:

 

Evaluation of the measurement model: The criteria of convergent validity and discriminant validity are used to evaluate the accuracy of items and the suitability of scale measurement.

 

Convergent validity

 

To verify the convergent validity of the study measurement, loadings, composite reliability, and average extracted variance are measured, as shown in Table 7:

 

Table 7. Construct Reliability and Validity

Constructs

CR

AVE

Items

Factor Loadings

Horizontal differentiation

0.859

0.558

Hori1

Hori2

Hori3

Hori4

Hori5

0.501

0.883

0.783

0.703

0.806

Vertical differentiation

0.833

0.532

verti1

verti2

verti3

verti4

verti5

0.182

0.791

0.870

0.842

0.732

Spatial differentiation

0.675

0.411

Spati 1

Spati2

Spati 3

0.645

0.704

0.566

knowledge management

0.804

0.337

Know 1

Know2

Know3

Know4

Know5

Know6

Know7

Know8

Know9

Know 10

Know11

Know12

0.879

0.818

0.798

0.254

0.251

0.995

0.784

0.149

0.426

0.585

0.850

0.899

Source: elaborated by researchers based on outputs of smart pls 4 software

 

It is clear from Table 6 that there are some items whose saturations were less than the criterion specified for full acceptance of 0.40. Thus, they must be deleted due to their impact on the standard model's composite reliability, internal consistency, and discriminant validity. Meanwhile, item saturation is between 0.40-0.70. In that case, it will be necessary to verify the effect of deleting this item on raising the value of the rest of the standards of the structural model. On the other hand, the items whose saturation equals or exceeds 0.70 are kept because they belong to this dimension. After the process of deleting the items and improving the model, Table 8 is formulated.

 

Table 8. Construct Reliability and Validity

Constructs

CR

AVE

Items

Factor Loadings

Horizontal differentiation

0.859

0.741

Hori2

Hori3

Hori5

0.890

0.867

0.823

Vertical differentiation

0.887

0.663

verti2

verti3

verti4

verti5

0.782

0.885

0.852

0.728

Spatial differentiation

0.740

0.588

Spati 1

Spati 2

0.732

0.801

Knowledge management

0.913

0.677

Know 1

Know3

Know7

Know11

Know12

0.895

0.828

0.825

0.748

0.812

Source: elaborated by researchers based on outputs of smart pls 4 software

 

Discriminant validity

 

1.      Cross -loading test

 

The cross-loading test aims to ensure that the items represent the dimension to which they belong. For this reason, their values must be higher than the rest of the dimensions. Table 9 demonstrates that the study axes do not overlap and that the variables are independent and belong to the dimension they represent.

Table 9. Cross-loading test

Horizontal differentiation

Vertical differentiation

Spatial differentiation

Knowledge management

 

0.623

0.687

0.425

0.895

Know 1

0.718

0.588

0.453

0.828

Know3

0.633

0.674

0.708

0.825

Know7

0.679

0.805

0.407

0.748

Know11

0.53

0.606

0.172

0.812

Know12

0.364

0.37

0.732

0.394

Spati1

0.451

0.466

0.801

0.434

Spati2

0.88

0.890

0.53

0.751

Hori2

0.756

0.867

0.393

0.672

Hori3

0.54

0.823

0.489

0.706

Hori5

0.782

0.672

0.557

0.594

verti2

0.885

0.796

0.363

0.722

verti3

0.852

0.72

0.339

0.724

verti4

0.728

0.575

0.495

0.45

verti5

Source: elaborated by researchers based on outputs of smart pls 4 software

 

1.      variable correlation

 

Fornell Larcker criterion: This criterion compares the square root of the AVE values with other correlations of the latent variable (Table 10). Thus, the square root of the AVE value for each construct must be greater than its highest correlation with any other construct. (See Figure 2)

 

                                                          Table 10. Fornell Larcker test

Vertical

Knowledge

Horizontal

Spatial

 

 

 

 

0.767

Spatial differentiation

 

 

0.861

0.548

Horizontal differentiation

 

0.81

0.855

0.534

Vertical differentiation

0.776

0.760

0.797

0.540

Knowledge management

Source: elaborated by researchers based on outputs of smart pls 4 software

 

 

 

 

 

 

 

Figure 2: PLS-Model final model.

 

Source: elaborated by researchers based on outputs of smart pls 4 software

 

Structural model evaluation

 

The structural model is evaluated using a set of criteria. The coefficient of explanation or determination implies the capacity of the structural complexity to explain the changes that occur in the knowledge management variables. The value of the coefficient of determination, R2, ranges from 0 to 1, and levels close to 1 reveal increased predictive accuracy (Table 11). The effect size indicator f², a significant tool, is utilised to analyse and determine the size of the effect of structural complexity on knowledge management (Table 12).                                           

 

Table 11. Coefficient of Determination (R2)

Construct

R-Square

R-Square adjusted

knowledge management

0.795

0.766

Source: elaborated by researchers based on outputs of smart pls 4 software

 

Table 12. effect size results

                    

Knowledge management

Spatial differentiation

0.698

Horizontal differentiation

0.330

Vertical differentiation

0.007

Source: elaborated by researchers based on outputs of smart pls 4 software

 

The Smart PLS program is used to test the study hypotheses. This program relies on path analysis using Bootstrapping, which focuses on the path coefficient, T-values, and p-values. Table 13 depicts this.

 

 

Table 13. Specific Indirect Effects

p-Values

T-Values

STDEV

Sample mean

 

0.001

3.313

0.140

0.440

Spatial differentiation

0.000

3.521

0.138

0.514

Horizontal differentiation

0.585

0.547

0.142

0.087

Vertical differentiation

Source: elaborated by researchers based on outputs of smart pls 4 software

 

Table 13 shows how the dimensions of structural complexity were independently tested on the knowledge management processes of the Friendship Algeria Kuba Ophthalmology Hospital in Djelfa City. The first sub-hypothesis: The probability value of the spatial differentiation variable is 0.001, which is less than the significance level of 0.05, and therefore, the alternative hypothesis H1 is accepted. The spatial differentiation dimension statistically affects knowledge management processes at the Friendship Algeria Kuba Ophthalmology Hospital in Djelfa City.

 

The second sub-hypothesis: the probability value of the horizontal differentiation variable is 0.000, which is less than the significance level of 0.05. Therefore, we accept the alternative hypothesis H1, which states that there is a statistically significant effect of the horizontal differentiation dimension on the knowledge management processes at the Friendship Algeria Kuba Ophthalmology Hospital in Djelfa City.

 

The third sub-hypothesis:   the probability value of the vertical differentiation variable is 0.585, which is greater than the significance level of 0.05. Therefore, the null hypothesis H0 is accepted, which states no statistically significant effect of the vertical differentiation dimension on knowledge management processes at the Friendship Algeria Kuba Ophthalmology Hospital in Djelfa City.

 

Conclusion

 

Organizational structure design policies vary according to several considerations, the most important of which are the organizations' specificity and activity and the mechanisms adopted for coordination between their parts. Accordingly, this study sought to test the relationship between the dimensions of structural complexity in the Friendship Algeria Cuba Ophthalmology Hospital practices in Djelfa and knowledge management processes. Health organizations are composed of a complex system that contains disparate inputs represented by the external environment of the hospital, individual practitioners with their various knowledge, and patients, and the goal of their outputs is to achieve quality health results.77

 

Thus, emphasis must be placed on knowledge management processes, as hospital management requires effective management of its professional knowledge to make decisions that achieve high-quality services for patients and the hospital achieve a good reputation,78 especially with the recommendations imposed by the coronavirus pandemic, which require searching for future trends in the field of hospital organization and management.79 In this regard, one of the most essential regulatory standards in place in the field of health organizations is to benefit from developments in the technology environment to discover solutions to complex health cases.80 In addition, creating functions in organizational structures reduces the pressure on doctors due to the complexity of their tasks and the overlap of their responsibilities.81 Hospitals are complex systems requiring strategic choices to structure knowledge acquisition and dissemination at all organizational levels properly.82 All this is done to effectively produce multiple options to meet the hospital's needs.83

 

The current research concluded that spatial and horizontal differentiation had a significant effect on knowledge management processes in the organization studied. However, vertical differentiation has no statistically significant effect on knowledge management processes. Thus, spatial differentiation results in the fragmentation of health care for patients between different physical locations, leading to obstructed communications between them and delayed access to information, negatively affecting the diagnosis of patients’ cases. However, the hospital administration overcame the obstacles of spatial differentiation by targeting knowledge management processes by adopting communication technology and integrating it into hospital operations.

 

Regarding horizontal differentiation in the organization, we notice the process of arranging hospital departments based on hospital-specific functions such as examinations A, examinations B, and the surgery unit. Each department specializes in a specific healthcare field and has a range of knowledge, experience and medical equipment in addition to various supporting departments such as laboratory and radiography. They work together in an integrated manner because each department has a deep understanding of its field of specialization, which facilitates the application of knowledge. The outputs of each department are the inputs of the department with which it is linked. Therefore, coordination between departments must be strengthened to acquire new knowledge and skills that improve the outcomes of hospital operations.

 

 As for vertical differentiation in the organization, it is noted that there are multiple hierarchical levels in the hospital, and the concentration of decision-making authority with the director results in the flow of information across Many levels, which leads to a delay in the dissemination of knowledge. In addition, knowledge may be monopolized at higher levels, while lower levels have incomplete and unclear knowledge. The research points out the lost knowledge that cannot be stored in the hospital’s knowledge repositories.

 

Furthermore, systems that align with technological developments must be adopted to effectively manage knowledge and overcome the negatives of multiple hierarchical levels, delegating some powers and empowering individuals.

 

Bibliographic references

 

1.      Lu L, Lin, X, Pan J. Heterogeneous effects of hospital competition on inpatient expenses: an empirical analysis of diseases grouping basing on conditions’ complexity and urgency. BMC Health Services Research, 2021;21(1): 1–16. [consulted 21 june 2024] Available in:    https://doi.org/10.1186/s12913-021-07331-1

2.      Segura-García MT, Castro Vida MÁ, García-Martin M, Álvarez-Ossorio-García de Soria R, Cortés-Rodríguez AE, López-Rodríguez MM. Patient Safety Culture in a Tertiary Hospital: A Cross-Sectional Study. International Journal of Environmental Research and Public Health, 2023;20(3). [consulted 21 june 2024] Available in:  https://doi.org/10.3390/ijerph20032329

3.      van Beers JCAM, van Dun DH, Wilderom CPM. Effective hospital-wide lean implementation: top-down, bottom-up or through co-creative role modeling? International Journal of Lean Six Sigma, 2022;13(1), 46–66. [consulted 21 june 2024] Available in:   https://doi.org/10.1108/IJLSS-02-2021-0024

4.      Carini E, Gabutti I., Frisicale EM, Di Pilla A, Pezzullo AM, de Waure C, Cicchetti A, Boccia S, Specchia ML. Assessing hospital performance indicators. What dimensions? Evidence from an umbrella review. BMC Health Services Research, 2020;20(1): 1–13. [consulted 23 june 2024] Available in: https://doi.org/10.1186/s12913-020-05879-y

5.      Wennman I., Jacobson C, Carlström E, Hyltander A, Khorram-Manesh A. Organizational Changes Needed in Disasters and Public Health Emergencies: A Qualitative Study among Managers at a Major Hospital. International Journal of Disaster Risk Science, 2022;13(4): 481–494. [consulted 23 june 2024] Available in: https://doi.org/10.1007/s13753-022-00423-4

6.      Dryden-Palmer KD, Parshuram CS, Berta WB. Context, complexity and process in the implementation of evidence-based innovation: A realist informed review. BMC Health Services Research, 2020;20(1), 1–15. [consulted 23 june 2024] Available in: https://doi.org/10.1186/s12913-020-4935-y

7.      Wahba M. The Impact of Organizational Structure Dimensions ’ on Knowledge Management Processes Comparative Study Between Manufacturing & Service Sectors in Egypt. Proceedings of the Australian Academy of Business and Social Sciences Conference 2, 2014; 1–13.

8.      Oh KH, Kim K, Park SM. The Effects of Organizational Structure on Innovativeness, Pro-activeness, and Risk-taking in the Korean Public Sector. 2020; 1–32. [consulted 25 june 2024] Available in: https://www.ippapublicpolicy.org/file/paper/594ba7238eb1c.pdf

9.      Chen Y, Bretschneider S, Stritch JM, Darnall N, Hsueh L. E-procurement system adoption in local governments: the role of procurement complexity and organizational structure. Public Management Review, 2022;24(6): 903–925. [consulted 25 june 2024] Available in: https://doi.org/10.1080/14719037.2021.1874497

10.  Ben-Ner A, Kong F, Lluis S. (2012). Uncertainty, task environment, and organization design: An empirical investigation. Journal of Economic Behavior and Organization, 2012;82(1): 281–313. [consulted 25 june 2024] Available in: https://doi.org/10.1016/j.jebo.2012.02.009

11.  Zhou YM. Designing for complexity: Using divisions and hierarchy to manage complex tasks. Organization Science, 2013;24(2): 339–355. [consulted 25 june 2024] Available in:  https://doi.org/10.1287/orsc.1120.0744

12.  Fredrickson JW. The Strategic Decision Process and Organizational Structure. Academy of Management Review, 1986;11(2), 280–297. [consulted 27 june 2024] Available in:   https://doi.org/10.5465/amr.1986.4283101

13.  Alhasani AH, Alkshali SJ. The Impact of Organizational Support on Strategic Vigilance in Ministry of Civil Service in Sultanate Oman. International Journal of Academic Research in Business and Social Sciences, 2021;11(5): 669–683. [consulted 27 june 2024] Available in:    https://doi.org/10.6007/ijarbss/v11-i5/8496

14.  Claver-Cortés E, Zaragoza-Sáez P, Pertusa-Ortega E. Organizational structure features supporting knowledge management processes. Journal of Knowledge Management,  2007;11(4): 45–57. [consulted 27 june 2024] Available in: https://doi.org/10.1108/13673270710762701

15.  Johnston MA. (2000). Delegation and Organizational Structure in Small Businesses: Influences of Manager’s Attachment Patterns. Group and Organization Management, 2000; 25(1): 4–21. [consulted 28 june 2024] Available in: https://doi.org/10.1177/1059601100251002

16.  Blau PM. A Formal Theory of Differentiation in Organizations. American Sociological Review, 1970;35(2): 201. [consulted 28 june 2024] Available in:  https://doi.org/10.2307/2093199

17.  Dooley K. Organizational Complexity Kevin Dooley Arizona State University. Business, January 2002; 2002: 5013–5022.

18.  Ugbomhe O, Dirisu A. Organizational Structure: Dimensions, Determinants and Managerial Implication. Icidr.Org, 2011;2(2): 10–18. [consulted 28 june 2024] Available in:  http://www.icidr.org/ijedri_vol2no2_august2011/Organizational Structure Dimensions, Determinants and Managerial Implication.pdf 

19.  Hall RH. Organization and Environment: Managing Differentiation and Integration. Administrative Science Quarterly. Johnson Graduate School of Management, Cornell University; 1968.

20.  Elkabbouri, R. Organizational structures and efficiency of Moroccan professional football clubs. Finance, Auditing, Management and Economics, 2021;  2(4): 61–74. [consulted 28 june 2024] Available in:  https://doi.org/10.5281/zenodo.5071098

21.  Hall RH, Johnson NJ, Haas JE. Organizational Size, Complexity, and Formalization. American Sociological Review, 1967;32(6): 903–912. [consulted 28 june 2024] Available in:  https://doi.org/https://doi.org/10.2307/2092844

22.  Ashmos DP, Duchon D, McDaniel RR. Organizational responses to complexity: The effect on organizational performance. Journal of Organizational Change Management, 2000;(6); 577–594. [consulted 28 june 2024] Available in:  https://doi.org/10.1108/09534810010378597

23.  Damanpour F, Gopalakrishnan S. Theories of organizational structure and innovation adoption: The role of environmental change. Journal of Engineering and Technology Management - JET-M, 1998;15(1):1–24. [consulted 28 june 2024] Available in: https://doi.org/10.1016/S0923-4748(97)00029-5

24.  Porter LW, Lawler EE. Properties of organization structure in relation to job attitudes and job behavior. Psychological Bulletin, 1965;64(1):23–51. [consulted 29 june 2024] Available in: https://doi.org/10.1037/h0022166

25.  Naylor JC, Briggs GE. Effects of task complexity and task organization on the relative efficiency of part and whole training methods. Journal of Experimental Psychology, 1963;65(3): 217–224. [consulted 30 june 2024] Available in: https://doi.org/10.1037/h0041060

26.  Andreis F deA Theoretical Approach to the Effective Decision-Making Process. Open Journal of Applied Sciences, 2020;10(06):287–304. [consulted 2 july 2024] Available in:  https://doi.org/10.4236/ojapps.2020.106022

27.  Hage J, Aiken M, Marrett CB. Organization Structure and Communications. American Sociological Review, 1971;36(5): 860. [consulted 2 july 2024] Available in:   https://doi.org/10.2307/2093672

28.  Aldrich H, Herker D. Academy of management review. Academy of Management Review, 1977;2(2): 217–230.

29.  Rasmussen J. The Role of Hierarchical Knowledge Representation in Decision making and System Management. IEEE Transactions on Systems, Man and Cybernetics, SMC, 1985;15(2): 234–243. [consulted 4 july 2024] Available in:    https://doi.org/10.1109/TSMC.1985.6313353

30.  Lin Z. Environmental determination or organizational design: An exploration of organizational decision making under environmental uncertainty. Simulation Modelling Practice and Theory, 2006;14(4):438–453. [consulted 4 july 2024] Available in:     https://doi.org/10.1016/j.simpat.2005.09.007

31.  Almasri A, Talla SA El, Abu-naser SS, Shobaki MJAl, Technology I. The Organizational Structure and its Role in Applying the Information Technology Used In the Palestinian Universities- Comparative Study between Al-Azhar and the Islamic Universities. International Journal of Academic and Applied Research, 2018; 2(6): 1–22.

32.  Moreno‐Luzón Peris FJ. Strategic approaches, organizational design and quality management. International Journal of Quality Science, 1998;3(4): 328–347. [consulted 4 july 2024] Available in: https://doi.org/10.1108/13598539810243667

33.  Dooley RS, Fryxell GE. Attaining decision quality and commitment from dissent: The moderating effects of loyalty and competence in strategic decision-making teams. Academy of Management Journal, 1999;42(4): 389–402. [consulted 5 july 2024] Available in: https://doi.org/10.2307/257010

34.  Oliver D, Roos J. Decision-making in high-velocity environments: The importance of guiding principles. Organization Studies, 2005;26(6): 889–913. [consulted 5 july 2024] Available in: https://doi.org/10.1177/0170840605054609

35.  Paais M, Pattiruhu JR. Effect of Motivation, Leadership, and Organizational Culture on Satisfaction and Employee Performance. Journal of Asian Finance, Economics and Business, 2020;7(8): 577–588. [consulted 1 july 2024] Available in:  https://doi.org/10.13106/JAFEB.2020.VOL7.NO8.577

36.  Tierney G, William JE. Culture organizational in higher education. The Journal of Higher Education, 2011;59(1): 2–21. [consulted 3 july 2024] Available in:   http://www.jstor.org/stable/1981868 .

37.  Negulescu OH. Complexity and Flexibility in Strategic Management. Review of General Management, 2019;30(2): 55–68.

38.  Anderson P. Complexity Theory and Organization Science. Organization Science, 1999;10(3): 216–232. [consulted 3 july 2024] Available in:    https://doi.org/10.1287/orsc.10.3.216

39.  Neill S, Rose GM. The effect of strategic complexity on marketing strategy and organizational performance. Journal of Business Research, 2006:59(1):1–10. [consulted 3 july 2024] Available in: https://doi.org/10.1016/j.jbusres.2004.12.001

40.  Chen CJ, Huang JW. How organizational climate and structure affect knowledge management-The social interaction perspective. International Journal of Information Management, 2007;27(2): 104–118. [consulted 4 july 2024] Available in: https://doi.org/10.1016/j.ijinfomgt.2006.11.001

41.  Quintas P, Lefrere P, Jones G. Knowledge management : A strategic agenda. Long Range Planning, 1997;30(3). [consulted 5 july 2024] Available in:  https://doi.org/10.1016/s0024-6301(97)00018-6

42.  Dei DGJ, van der Walt TB. Knowledge management practices in universities: The role of communities of practice. Social Sciences & Humanities Open, 2020;2(1): 100025. [consulted 7 july 2024] Available in:  https://doi.org/10.1016/j.ssaho.2020.100025

43.  Mahmoudsalehi M, Moradkhannejad R, Safari K. How knowledge management is affected by organizational structure. Learning Organization, 2012;19(6): 518–528. [consulted 7 july 2024] Available in:  https://doi.org/10.1108/09696471211266974

44.  Tang H. A study of the effect of knowledge management on organizational culture and organizational effectiveness in medicine and health sciences. Eurasia Journal of Mathematics, Science and Technology Education, 2017;13(6): 1831–1845. [consulted 7 july 2024] Available in:  https://doi.org/10.12973/eurasia.2017.00700a

45.  Bennet A, Bennet D. The Partnership between Organizational Learning and Knowledge Management. Handbook on Knowledge Management 2004;1:439–455. [consulted 7 july 2024] Available in: https://doi.org/10.1007/978-3-540-24746-3_23

46.  Alaarj S, Abidin-Mohamed Z, Bustamam USBA. Mediating Role of Trust on the Effects of Knowledge Management Capabilities on Organizational Performance. Procedia - Social and Behavioral Sciences, 2016;235(October):729–738. [consulted 7 july 2024] Available in: https://doi.org/10.1016/j.sbspro.2016.11.074

47.  Mukhtar M, Sudarmi, S, Wahyudi, M, Burmansah B. The information system development based on knowledge management in higher education institution. International Journal of Higher Education, 2020;9(3): 98–108. [consulted 7 july 2024] Available in: https://doi.org/10.5430/ijhe.v9n3p98

48.  Rahimi H, Arbabisarjou A, Allameh SM, Aghababaei R. Relationship between Knowledge Management process and creativity among faculty members in the University. Interdisciplinary Journal of Information, Knowledge, and Management, 2011;6: 17–33. [consulted 7 july 2024] Available in: https://doi.org/10.28945/1360

49.  Zheng W, Yang B, McLean GN. Linking organizational culture, structure, strategy, and organizational effectiveness: Mediating role of knowledge management. Journal of Business Research, 2010;63(7): 763–771. [consulted 8 july 2024] Available in:  https://doi.org/10.1016/j.jbusres.2009.06.005 

50.  Wiig KM. Knowledge management: Where did it come from and where will it go? Expert Systems with Applications, 1997;13(1), 1–14. [consulted 8 july 2024] Available in:   https://doi.org/10.1016/S0957-4174(97)00018-3

51.  Parikh, M. Knowledge management framework for high-tech research and development. EMJ - Engineering Management Journal, 2001;13(3):27–34. [consulted 8 july 2024] Available in:   https://doi.org/10.1080/10429247.2001.11415124

52.  Hedlund G. A model of knowledge management and the N-form corporation - Strategic Management Journal - Wiley Online Library. Strategic Management Journal, 1994;15(February 1991): 73–90. [consulted 6 july 2024] Available in:    http://onlinelibrary.wiley.com/doi/10.1002/smj.4250151006/abstract

53.  Prusak L. Where did knowledge management come from? IBM Systems Journal, 2001;40(4): 1002–1007. [consulted 6 july 2024] Available in: https://doi.org/10.1147/sj.404.01002

54.  Gelard P, Emamisaleh K, Hassanabadi M, Shakouri Rad M. Looking into Knowledge Management from Organizational Structure Perspective. International Review of Management and Business Research, 2013;2(2): 518–529. [consulted 7 july 2024] Available in:  https://www.irmbrjournal.com

55.  Forcadell FJ, Guadamillas F. A case study on the implementation of a knowledge management strategy oriented to innovation: A knowledge management strategy oriented to innovation. Knowledge and Process Management, 2002;9(3): 162–171. [consulted 8 july 2024] Available in:   https://doi.org/10.1002/kpm.143

56.  Magnier-Watanabe R, Senoo D. Organizational characteristics as prescriptive factors of knowledge management initiatives. Journal of Knowledge Management, 2008:12(1): 21–36. [consulted 8 july 2024] Available in:   https://doi.org/10.1108/13673270810852368

57.  Seidler-de Alwis R, Hartmann E. The use of tacit knowledge within innovative companies: Knowledge management in innovative enterprises. Journal of Knowledge Management, 2008;12(1): 133–147. [consulted 8 july 2024] Available in:   https://doi.org/10.1108/13673270810852449

58.  Ayestarán S, Gómez D, Martínez-Moreno E, Lira EM, Costa SDa. A Model of Knowledge-sharing for the 21st Century Organizations. Revista de Psicologia Del Trabajo y de Las Organizaciones, 2022;38(3): 175–187. [consulted 9 july 2024] Available in:   https://doi.org/10.5093/JWOP2022A21

59.  Novak A. Knowledge Management and Organizational Performance – Literature Review. Management, Knowledge and Learning International Conference 2017, 2017; May: 433–440.

60.  Allameh SM, Zare SM, Davoodi SMR. Examining the impact of KM enablers on knowledge management processes. Procedia Computer Science, 2011;3: 1211–1223. [consulted 9 july 2024] Available in: https://doi.org/10.1016/j.procs.2010.12.196

61.  Willem A, Buelens M. Knowledge sharing in public sector organizations: The effect of organizational characteristics on interdepartmental knowledge sharing. Journal of Public Administration Research and Theory, 2007;17(4): 581–606. [consulted 9 july 2024] Available in: https://doi.org/10.1093/jopart/mul021

62.  Shah SI, Afsar B, Shahjehan A. Unique contextual conditions affecting coworker knowledge sharing and employee innovative work behaviors. Revista de Psicologia Del Trabajo y de Las Organizaciones, 2020;36(2): 125–134. [consulted 9 july 2024] Available in: https://doi.org/10.5093/jwop2020a12

63.  Liao C, Chuang SH, To PL. How knowledge management mediates the relationship between environment and organizational structure. Journal of Business Research, 2011;64(7): 728–736. [consulted 10 july 2024] Available in: https://doi.org/10.1016/j.jbusres.2010.08.001

64.  Gold AH, Malhotra A, Segars AH. Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 2001;18(1): 185–214. [consulted 10 july 2024] Available in: https://doi.org/10.1080/07421222.2001.11045669

65.  Uit Beijerse RP. Questions in knowledge management: Defining and conceptualising a phenomenon. Journal of Knowledge Management, 1999;3(2): 94–110. [consulted 10 july 2024] Available in: https://doi.org/10.1108/13673279910275512

66.  Bhatt GD. Knowledge management in organizations: Examining the interaction between technologies, techniques, and people. Journal of Knowledge Management, 2001;5(1): 68–75. [consulted 10 july 2024] Available in: https://doi.org/10.1108/13673270110384419

67.  Yusuf N, Metiboba S. Work Environment and Job Attitude among Employees in a Nigerian Work Organization. Journal of Sustainable Society, 2018;1(2): 36–43.

68.  Becerra-Fernandez I, Sabherwal R. Organizational knowledge management: A contingency perspective. Journal of Management Information Systems, 2001;18(1): 23–55. [consulted 10 july 2024] Available in: https://doi.org/10.1080/07421222.2001.11045676

69.  Riege A. Three-dozen knowledge-sharing barriers managers must consider. Journal of Knowledge Management, 2005;9(3): 18–35. [consulted 10 july 2024] Available in: https://doi.org/10.1108/13673270510602746

70.  De Jonge PD, Huyse FJ, Slaets JPJ, Herzog T, Lobo A, Lyons JS, Opmeer BC, Stein B, Arolt V, Balogh N, Cardoso G, Fink P, Rigatelli M, Dijck RVan, Mellenbergh GJ. Care complexity in the general hospital: Results from a European study. Psychosomatics, 2001;42(3): 204–212. [consulted 11 july 2024] Available in: https://doi.org/10.1176/appi.psy.42.3.204

71.  Parand A, Dopson S, Renz A, Vincent, C. The role of hospital managers in quality and patient safety: A systematic review. BMJ Open, 4; 2014. [consulted 10 july 2024] Available in:  https://doi.org/10.1136/bmjopen-2014-005055

72.  Tamuz M, Harrison MI. Improving patient safety in hospitals: Contributions of high-reliability theory and normal accident theory. Health Services Research, 2006;41(4 II):1654–1676. [consulted 11 july 2024] Available in:  https://doi.org/10.1111/j.1475-6773.2006.00570.x

73.  Mamédio DF, Meyer V. Managing project complexity: how to cope with multiple dimensions of complex systems. International Journal of Managing Projects in Business, 2020; 13(4): 727–744. [consulted 11 july 2024] Available in:  https://doi.org/10.1108/IJMPB-06-2019-0147

74.  Costa PL, Passos AM, Silva SA, Sacadura-Leite E, Tavares SM, Spanu F, Dimitrova E, Basarovska V, Milosevic M, Turk M, Panagopoulou E, Montgomery, A. Overcoming job demands to deliver high quality care in a hospital setting across Europe: The role of teamwork and positivity. Revista de Psicologia Del Trabajo y de Las Organizaciones, 2014; 30(3): 105–112. [consulted 11 july 2024] Available in: https://doi.org/10.1016/j.rpto.2014.11.001

75.  de Zwart L, Koenders N, Steenbruggen R, Nijhuis-van der Sanden R, Hoogeboom TJ. What is complexity of hospital-based physiotherapy from the perspective of physiotherapists themselves? A grounded theory study. BMJ Open, 2023;13(4):e069368. [consulted 11 july 2024] Available in:  https://doi.org/10.1136/bmjopen-2022-069368

76.  Lee EJ, Kim HS, Kim HY. Relationships between core factors of knowledge management in hospital nursing organisations and outcomes of nursing performance. Journal of Clinical Nursing, 2014;23(23–24): 3513–3524. [consulted 11 july 2024] Available in:   https://doi.org/10.1111/jocn.12603

77.  Hearld LR, Alexander JA, Fraser I, Jiang HJ. How do hospital organizational structure and processes affect quality of care? A critical review of research methods. Medical Care Research and Review, 2008;65: 259-299. [consulted 12 july 2024] Available in:    https://doi.org/10.1177/1077558707309613

78.  Wu IL, Hu YP. Examining knowledge management enabled performance for hospital professionals: A dynamic capability view and the mediating role of process capability. Journal of the Association for Information Systems, 2012;13(12): 3. [consulted 12 july 2024] Available in:     https://doi.org/10.17705/1jais.00319

79.  Verma S, Gustafsson A. Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach. Journal of business research, 2020;118: 253-261. [consulted 12 july 2024] Available in:      https://doi.org/10.1016/j.jbusres.2020.06.057

80.  Dash S, Shakyawar SK, Sharma M, Kaushik S. Big data in healthcare: management, analysis and future prospects. Journal of Big Data, 2019;6: 1-25. [consulted 12 july 2024] Available in:       https://doi.org/10.1186/s40537-019-0217-0

81.  Tziner A, Rabenu E, Radomski R, Belkin A. Work stress and turnover intentions among hospital physicians: The mediating role of burnout and work satisfaction. Revista de Psicología del Trabajo y de las Organizaciones, 2015;31(3): 207-213. [consulted 13 july 2024] Available in:       https://doi.org/10.1016/j.rpto.2015.05.001

82.  Walters BA, Bhuian SN. Complexity absorption and performance: A structural analysis of acute-care hospitals. Journal of Management, 2004;30(1): 97-121. [consulted 13 july 2024] Available in: https://doi.org/10.1016/j.jm.2003.01.005

83.  Braithwaite J. Changing how we think about healthcare improvement. Bmj, 2018;361. [consulted 14 july 2024] Available in: https://doi.org/10.1136/bmj.k2014

 

Conflicting Interests:

The authors report no conflicts of interest.

 

Contribution of authors:

·         Mokhtar Rabhi: Conceptualization, Data curation, Formal analysis, Methodology, Supervision, Writing. Project administration, Software.

·         Rima Affaf Harizi: Conceptualization, Data curation, Formal analysis, Methodology, Investigation. Software.

·         Mohammed Said Djoual: Conceptualization, Data curation, Formal analysis, Methodology, Supervision, Project administration.

·         Ahlam Thamri: Conceptualization, Investigation. Software.

·         Souaad Benmessaoud: Conceptualization, Software.