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Drawing on the knowledge-based view, this study investigates how IT–business alignment influences business model design via organizational learning and examines the moderating role of data-driven culture in the relationship between IT–business alignment and business model design via organizational learning.

Using multi-respondent survey data collected from 597 Chinese firms, mediation and moderated mediation analyses were used to examine this study's hypotheses.

The mediation test results revealed organizational learning served as a mediator between IT–business alignment and two types of business model design (i.e. novelty- and efficiency-centered). In addition, data-driven culture strengthened the indirect effects of IT–business alignment on these two types of business model design via organizational learning.

This study extends current understandings of the relationship between IT–business alignment and business model design by revealing the mediating role of organizational learning and investigating its indirect effects under various degrees of data-driven culture. As such, it contributes to the literature on the business model and IT–business alignment and provides insights for managers seeking to achieve the expected business model design.

Decisions about strategies to be implemented and organization design are important in having competitive advantage for companies. Although this statement widely takes place in management literature, very little research has been done on this subject in Turkey. The aim of this study is to examine the mediating role of competitive strategies in the impact of organizational flexibility on competitive advantage in order to extend about empirical literature of the structure-strategy-competitive advantage paradigm based on the resource-based view (RBV). In this context, the data were collected from the top 500 industrial enterprises in Turkey. The data were tested via structural equation model. The findings of our research show that the direct effect of organizational flexibility on competitive superiority was marginally significant and when three different competitive strategies were included between these two variables in the model, the marginally significant effect of organizational flexibility on the competitive advantage disappeared. In other words, the full mediating role of applied competition strategies in the effect of organizational flexibility on competitive advantage has been identified. Our findings are similar to the findings of other studies that consider organizational structure as a valuable resource and examine the relationship between the structure and the strategy according to the RBV.

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

One of the major issues faced by academic health science centers (AHSCs) is the need for mechanisms to foster the integration of research, clinical, and educational activities to achieve the vision of evidence-informed decision making (EIDM) and optimal client care. The paper aims to discuss this issue.

This paper synthesizes literature on organizational learning and collaboration, evidence-informed organizational decision making, and learning-based organizations to derive insights concerning the nature of effective workplace learning in AHSCs.

An evidence-informed model of collaborative workplace learning is proposed to aid the alignment of research, clinical, and educational functions in AHSCs. The model articulates relationships among AHSC academic functions and sub-functions, cross-functional activities, and collaborative learning processes, emphasizing the importance of cross-functional activities in enhancing collaborative learning processes and optimizing EIDM and client care. Cross-functional activities involving clinicians, researchers, and educators are hypothesized to be a primary vehicle for integration, supported by a learning-oriented workplace culture. These activities are distinct from interprofessional teams, which are clinical in nature. Four collaborative learning processes are specified that are enhanced in cross-functional activities or teamwork: co-constructing meaning, co-learning, co-producing knowledge, and co-using knowledge.

The model provides an aspirational vision and insight into the importance of cross-functional activities in enhancing workplace learning. The paper discusses the conceptual and empirical basis to the model, its contributions and limitations, and implications for AHSCs.

The model’s potential utility for health care is discussed, with implications for organizational culture and the promotion of cross-functional activities.

This paper aims to provide an easy-to-use yet powerful tool to assess the organizational readiness to adopt effective Smart Working (SW). In light of this main objective, based on the current state of research, the study develops a maturity model to assess the SW organizational readiness (SWOR). The SWOR maturity model consists of three dimensions, each of them further detailed into two sub-dimensions. A tool was developed to make use of the model.

The SWOR maturity model was converted into a Web-based questionnaire that includes 54 questions based on 44 items to operationalize the model sub-dimensions. The questionnaire was used in a survey conducted at the Local Health Authority (ASL) of the province of Bari (Italy).

Several implications derive from the present study. From a managerial perspective, the SWOR maturity model supports companies in the as-is analysis of processes, technologies and human resources, which are the enablers of an effective SW, and in the development of a roadmap to achieve a desired “to-be” situation.

Despite recent studies on SW have identified the key drivers that affect the success of SW implementation, there is a lack of models and tools that help companies become aware of the actions and investments to be taken to move towards an effective SW adoption. Even the analysis of the literature on maturity models reveals a gap in the research related to the assessment of SW organizational readiness. The present paper tries to overcome these limitations.

This paper aims to explore organizational structure, efficiency and evolution, and its relationship to bureaucracy. A new mathematical model is utilized to generate theoretically consistent relationships between economic performance and organizational scale and structure, and to develop a taxonomy of organizational structure.

A systems approach is used to model structural evolution and generate consistent, testable hypotheses concerning organizational sustainability and financial performance. This theoretical treatment seeks to reconcile contradictory views of bureaucracy, modeling both positive and negative impacts on performance and behavior. A variant of agency theory is used as an organizing paradigm, based on three competing organizational needs: control, autonomy and ownership of consequences.

Simulations reveal that organizations evolve through five stages of development: from an entry (flat/parallel) stage, through a hybrid or mixed stage, to the massively serial (hierarchical) stage. As firms evolve, the risk/return ratio first falls as employment expands, but later rises as higher levels of hierarchy appear. Eventually, organizational complexity rises sufficiently to produce lower levels of managerial ownership of consequences and professional autonomy, as well as higher levels of control, leading to a collapse of organizational efficiency. A subtle variation of agency theory is revealed: upper-management may maximize organizational depth, increasing salary differences between levels.

This paper uses an internally consistent, deductive framework to elucidate relationships between task complexity, skill level, industry life-cycle and firm age – providing the first known attribute-based metric for organizational complexity. This approach is reminiscent of Perrow’s (1999) non-mathematical treatment of organizational systems complexity.

Corporate-startup collaboration is an opportunity for inter-organizational learning. This paper aims to develop an empirically grounded typology to guide researchers and managers in choosing a model that is coherent with the underlying learning processes.

The empirical research consisted of three phases. First, 30 large companies were interviewed to identify different models of interaction. Second, eight different models and cases were selected, and a list of key characteristics of each model was drawn based on the empirical data, obtaining a first typology. Third, the typology was tested, improved and validated on nine corporations.

The main result of the study is an empirically grounded typology of models for corporate-startup interaction and inter-organizational learning. Six dimensions distinguish each model from the others.

The paper contributes to extend the literature on inter-organizational learning through different models of corporate-startups interaction. It also contributes to organizational ambidexterity theory, showing how collaboration with startups can improve exploitation and exploration.

The typology provides an instrument for analyzing and selecting operational models for corporate-startup collaboration and learning. The models can be modified or broadened, creating new hybrids.

The paper presents a novel way of looking at corporate-startup relations by studying them through the lens of organizational learning theory. It explains the existence of different inter-organizational arrangements and provides guidance in selecting the correct model.

This paper maps the organizational learning processes in a policy intervention program. A state department of social services designed an intervention for local agencies and implemented it with a university. A closer observation of patterns detected organizational learning in local agencies by the increase in the penetration rate-a ratio of federal to state funding. An organizational learning model is constructed to understand the organizational learning process in this particular instance. The model includes learning modes and the roles that the policy knowledge instigators had played in the process. Each mode and role is defined and the model is refined based on in-depth interviews with participants in the learning process.

The purpose of this paper is to contribute to our understanding of the antecedents of organizational identification. Specifically, this paper aims to integrate two perspectives developed within the social identity domain, labeled “cognitive” and “relational,” by comparing and reconciling their relationship organizational identification.

This study uses a survey method and a structured questionnaire to collect data from people working in a call center. The hypotheses were tested on a sample of 743 employees by using structural equation models and Hayes’ (2017) bootstrapping procedure.

The results provide evidence for a mediational model in which the attractiveness of organizational images (cognitive representations) mediates the relationship between perceived justice (relational judgments) and organizational identification.

The data were obtained from a single source in a cross-sectional design, which may inflate common method variance. To address threats to validity, the authors employed several procedures, the results of which revealed that no parameters corresponding to the hypotheses changed in sign or significance, thus suggesting that the presence of method bias, if any, was nonconsequential.

Not only does perceived justice relate to the sense of belonging to an organization, but it also contributes to shaping the long-term cognitive representations of the company. In particular, both HR and line managers should be aware that in this respect, the interactional dimension of justice shows the strongest effect.

Building on and enlarging the scope of the extant literature, the findings contribute to our knowledge of how relational judgments shape cognitive images about the company, influencing, in turn, the individual–organization relationship.

The purpose of this paper is to investigate the extent to which organizational level of functionality is affected by its leadership, its staff, the way task is performed in the organization (culture), and the structural and governance makeup of organizations. This study also determined the direct and indirect impacts of these variables on organizational functionality in general and drawing lessons to educational organizations in specific.

This is a quantitative study. Data from 185 participants were analyzed using SPSS software version 24. The data analysis procedure for this study followed various steps. First, multiple factor analysis was conducted to narrow the long list of items and to create a manageable list of construct variables for analyses. Then path analysis, using a series of multiple regression, was conducted to identify the degree of relationship between the independent and dependent variables. Finally, a path model coefficient diagram was created.

Using path analysis, a new model that depicts the level of interactions among the proposed variables and the extent and direction of influence of each variable on organizational level of functionality has been created. In addition, a path diagram that illustrates the model is provided and explained. This study also determined the direct and indirect impacts of these variables on organizational functionality. Finally, conclusions and implications of the study for educational organizations were presented.

It should be noted that path analysis studies, by nature, are based on assumptions provided by the researchers. Hence, future studies using different variables and different assumption may not necessarily generate the same result. In addition, this study looked at a broader view of organizations rather than a specific type.

This study expanded the use of organizational diagnosis frameworks, beyond studying organizational performance, to study organizational level of functionality which can be used to diagnose the level of function (or dysfunction) of organizations in a holistic manner.

The present study contributes to the body of literature in organizational diagnosis in various ways; chief of which is the creation of a new path model which shows the direct and indirect effects of specific variables in numeric terms.

Unlike previous studies on the topic, this study suggests that organizational level of functionality should be studied using variables internal to the organization, because any two organizations of similar purpose and capacity, located in similar environment, could function differently due to factors internal to the organizations. Investigating organizational level of functionality using variables internal to the organization is assumed to provide a deeper diagnosis and self-assessment as it minimizes the noises created by variables external to the organization. All the variables in this study are therefore carefully selected to be internal to organizations.