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We study organizational vocabularies as complex social structures emerging from the association between organizational participants and words they use to describe and make sense of their experiences at work. Using data that we have collected on the association between managers in a multi-unit international company and words they use to describe their organizational units and the overall company, we examine the relational micro-mechanisms underlying the observed network structure of organizational vocabularies. We find that members of the same subsidiary tend to become more similar in terms of the words they use to describe their units. Members of the same subsidiary, however, do not use the same words to describe the corporate group. Consequently, the structure of organizational vocabularies tends to support consistent local interpretations, but reveals the presence of divergent meanings that organizational participants associate with the superordinate corporate group.

This conceptual paper aims to present a new, integrated model for change readiness that focuses on affective sensemaking among intra-organizational members. Change processes are often hindered by lack of preparedness, which can be justified by organizational members' emotional resistance to change and divergent understandings of its meaning. Our paper proposes a normative model depicting the interactive process between middle-managers and employees until convergence of meaning is achieved and the organization is ready to change.

The authors offer a conceptual process model that describes how employees prepare for organizational change. The model illustrates how emotionally laden narratives enable employees to make sense of organizational change communicated by middle managers.

The sensemaking process is initiated by the negative emotions employees often experience when organizational change is first presented. Then middle managers must transform the negative felt emotions into positive valence via the strategic use of narratives that contain an affective component. This is done to increase the likelihood that convergent sensemaking takes place. Until this stage, intra-organizational members holding different perspectives about the need to change, engage in discussions in which the conflicting views are supported by the instrumental and systematic use of emotional tools with different valence.

First, we contribute to the change readiness literature by offering a detailed process for managers to influence individual readiness for change in their organizations. Our paper proposes a normative model depicting the interactive process between middle-managers and employees until convergence of meaning is achieved and the organization is ready to change. Future work needs to empirically test our model.

We contribute to the sensemaking literature by integrating positive and negative valence into the process for understanding organizational change. Finally, we contribute to our practical understanding of convergent sensemaking processes through the strategic use of narratives in organizations.

Our paper proposes a normative model depicting the interactive process between middle-managers and employees until convergence of meaning is achieved and the organization is ready to organizational and social change.

Our main contributions are three-fold. First, we contribute to the change readiness literature by offering a detailed process for managers to influence individual readiness for change in their organizations. Secondly, we contribute to the sensemaking literature by integrating positive and negative valence into the process for understanding organizational change. Finally, we contribute to our understanding of convergent sensemaking processes through the strategic use of narratives.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

The purpose of this paper is to propose the use of graph theoretic structural modeling for assessing the possible reduction in complexity of the work flow procedures in an organization due to lean initiatives. A tool to assess the impact of lean initiative on complexity of the system at an early stage of decision making is proposed.

First, the permanent function-based graph theoretic structural model has been applied to understand the complex structure of a manufacturing system under consideration. The model helps by systematically breaking it into different sub-graphs that identify all the cycles of interactions among the subsystems in the organization in a systematic manner. The physical interpretation of the existing quantitative methods linked to graph theoretic methodology, namely two types of coefficients of dissimilarity, has been used to evolve the new measures of organizational complexity. The new methods have been deployed for studying the impact of different lean initiatives on complexity reduction in a case industrial organization.

The usefulness and the application of new proposed measures of complexity have been demonstrated with the help of three cases of lean initiatives in an industrial organization. The new measures of complexity have been proposed as a credible tool for studying the lean initiatives and their implications.

The paper may lead many researchers to use the proposed tool to model different cases of lean manufacturing and pave a new direction for future research in lean manufacturing.

The paper demonstrates the application of new tools through cases and the tool may be used by practitioners of lean philosophy or total quality management to model and investigate their decisions.

The proposed measures of complexity are absolutely new addition to the tool box of graph theoretic structural modeling and have a potential to be adopted by practical decision makers to steer their organizations though such decisions before the costly interruptions in manufacturing systems are tried on ground.

Looks at the 2000 Employment Research Unit Annual Conference held at the University of Cardiff in Wales on 6/7 September 2000. Spotlights the 76 or so presentations within and shows that these are in many, differing, areas across management research from: retail finance; precarious jobs and decisions; methodological lessons from feminism; call centre experience and disability discrimination. These and all points east and west are covered and laid out in a simple, abstract style, including, where applicable, references, endnotes and bibliography in an easy‐to‐follow manner. Summarizes each paper and also gives conclusions where needed, in a comfortable modern format.

The purpose of this paper is to discuss both possibilities and problems with Senge's (1990) many faces in The Fifth Discipline, i.e. the fact that different authors refer to different excerpts from his book as his version of the learning organization.

The paper shows that the authors' understandings of Senge, in which a literature review resulted, are seen in the light of theories of travelling of management ideas, particularly the “translation model”.

The paper finds that both possibilities and problems with Senge's many faces were found. A fatal problem is that the many faces jeopardize the confidence in the concept and eventually its existence. But the strong connections to Senge's book, that the authors have, reduces the problems, and Senge's many faces might not cause that much trouble after all.

The paper shows that anyone who wishes to can, for different reasons, refer to Senge, and his version of the learning organization, and thereby gain legitimacy. One does not have to be very accurate; as it seems, almost anything goes.

In the paper the “translation model” is divided into two sub‐models, which probably will sharpen future translation research.

The paper is a study in which it is shown how authors understand other authors. This is an example that is rarely seen. Both possibilities and problems are discussed with vagueness to Senge's many faces. This is not very common. A special case of the translation model is developed (the “smorgasbord model”), better suited to deal with the type of idea that focuses on copying of excerpts from a specific book than the traditional translation model (the “whispering game model”).

The purpose of this paper is to explore the use of a multidimensional model from the field of media reception for analyzing how a value statement in a Danish windmill company led to employee identification as well as organizational antecedents that influenced this identification. Further, the paper evaluates whether the proposed model can enhance understanding of the study of employee identification in a specific organizational situation and context.

The identification model extends a multidimensional model for media reception originally proposed by Schrøder in the field of media reception studies. The proposed model includes the following reception dimensions: comprehension, discrimination, implementation, motivation, and position.

This paper illustrates how employees from a Danish windmill company receive a value statement. A systematic application of the multidimensional model makes it possible to gain detailed insight into the active and complex process of employee identifications with organizational texts and how they may fluctuate in a specific context.

This analysis only focuses on the reception of a value statement. Future research could include the analysis of employee readings of other types of organizational texts.

The multidimensional identification model is an extension of a media reception model and is new in the field of organizational identification. The model offers a method for analyzing the complexity and multiplicity of employee readings of different types of organizational texts. This may be crucial for both researchers and managers as the model may help to uncover the antecedents that influence how employees receive organizational texts while taking the historical and situational context of the organization into consideration.

The aim of this paper is to move toward a holistic model of organizational interpretation under uncertainty. This paper makes a series of novel conceptual propositions regarding the associations between state, effect and response uncertainty and the organizational interpretation process.

This conceptual paper extends existing conceptual work by distinguishing between general and issue-specific scanning and linking the interpretation process to three different types of perceived uncertainty: state, effect and response uncertainty.

It is proposed that environmental scanning leads to lower state and effect uncertainty, i.e. less uncertainty regarding the estimation of probabilities of events occurring in the external environment of the organization and of their consequences. It is further proposed that scanning leads to higher levels of perceived control over events and that the actual interpretation of events, in opportunity/threat terms, drives irregular issue-specific scanning and organizational reactions to such events.

The paper suggests a way to test links between organizational interpretation and uncertainty that might help explain and untangle some of the conflicting empirical results found in the extant literature. The paper illustrates how the literature could benefit from re-conceptualizing the perceived environmental uncertainty construct to take into account different types of uncertainty.

For practitioners, this paper emphasizes the importance of environmental scanning and how scanning practices can lead to general alertness, to more positive event interpretations and how interpretations form responses to opportunities in the environment.

This paper extends on existing work by linking the interpretation process to three different types of uncertainty (state, effect and response uncertainty) with several novel and testable propositions. The paper also differentiates clearly general (regular) scanning from issue-specific (irregular) scanning. Finally, the paper provides a unifying view, piecing together in one picture elements that have so far been dispersed in the literature.

Organizations are fast adopting new technologies such as automation, analytics and artificial intelligence, collectively called intelligent automation, to drive digital transformation. When adopting intelligent automation, there is a need to understand the success factors of these new technologies and adapt agile software development (ASD) practices to meet customer expectations. The purpose of this paper is to explore the success factors of intelligent automation and create a framework for managers and practitioners to meet dynamic business demands. Total interpretive structural modeling (TISM) framework is a suitable approach to integrate quantitative measurement with qualitative semi-structured interviews capturing the context of the individual organization environment.

This paper identified agility factors and their interrelationships using a TISM framework. TISM results were validated using a one-tailed t-test to confirm the interrelationships between factors. Furthermore, the agility index of a case project organization was assessed using a graph-theoretic approach (GTA) to identify both the triggering factors for agility success and improvement proposals.

Results showed that leadership vision, organization structure and program methodology were driving factors. The TISM model was validated statistically and the agility index of the intelligent automation case project organization was calculated to be79.5%. Here, a GTA was applied and the triggering factors for improvement of the agility index were identified.

The limitations of the study are described along with the opportunities for future research as the field evolves through the rapid innovation of technology and products.

The increasing role of digital transformation in enterprise strategy and operations requires practitioners to understand how ASD practices must be planned, measured and/or improved over time through the implementation of automation, analytics and artificial intelligence programs. The TISM digraph provides a framework of hierarchical structure to organize the influencing factors, which assists in achieving organizational goals. This study highlights the driving factors which contribute to the success of intelligent automation projects and project organizations.

This is a first attempt to analyze the interrelationships among agility factors in intelligent automation projects (IAP) using TISM and the assessment of the agility index of a case IAP organization using a GTA.

In the rapidly changing business world, innovation plays a vital role for organizations to gain a competitive advantage. Various factors associated with technology management and innovations in organizations are diverse in the existing literature. Therefore, there is a need to bridge these gaps in the fitting proportions toward innovations within organizations. The primary objective of this study is to identify, explain and interpret the relationships between the identified technology-related factors that are important for innovations in organizations.

In this study, a modified total interpretive structural modeling (M-TISM) methodology was used to examine and analyze the various interactions between identified factors for innovations in organizations. However, the argumentation of the links is relatively weak in M-TISM. In order to compensate for this, M-TISM is additionally altered by an “Argumentation-based Modified TISM”. Hence, this research strengthens the modified TISM methodology by incorporating argumentation and total interpretation of the relationships between the identified factors.

A total of six major factors were identified using a literature review. Results suggest that workforce technical skills, technological infrastructure, technological alliances, technology transfer and top management support have an impact on innovation in organizations. Results also suggest that top management support and the technological infrastructure of an organization have a greater impact on innovation.

For policymakers and practitioners, this study provides a suggestive list of critical factors, which may help to develop policies or guidelines for improving innovation in organizations. Policymakers should focus on technological infrastructure and collaborations to enhance innovations and productions within the organizations. For academicians, this study provides a modified TISM model that shows the impact of technology-related factors on innovations. Future researchers could expand this study by adding a greater number of technological factors and validate this model in other industries.

This study fills a gap in the literature by interpreting the various relationships among the identified factors and innovations. The model has been validated through a panel of seven experts from the Indian automotive industry of multiple organizations. This study is useful in the automobile industry as it determines what and how technology-related factors affect innovations, process improvement and R&D production for organizations.