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The purpose of this paper is to develop a new model for depicting organizational processes: the episodic spiral model (ESM).

On the basis of a strong process view as the orienting paradigm, the authors demonstrate the need for the ESM by discussing the shortcomings of two specific spiral types in the organizational literature – the knowledge creation spiral and the efficacy spiral.

A review of each spiral type through the lens of nonlinear assumptions reveals the treatment to date of organizational spirals as uni-directional and insufficient for understanding organizations. The authors propose that managers must undertake a paradigm shift in order to gain a greater awareness of both the environment in which they operate, as well as their process actions. To facilitate this shift, the ESM depicts choice points, chosen and rejected trajectories, and upward and downward environmental drafts, as well as a multi-dimensional environment, as a way of re-conceptualizing approaches to space, time, and change in organization studies.

The authors propose that the model provides a way for scholars to enhance the study of organizations by understanding that organizations exist in a more dynamic environment than previously studied; recognizing that the organization has a wider range of choices available, and acknowledging the long-lasting ramifications of both choices made and choices discarded; and obtaining a more comprehensive look at the way the organization moves through space and time at any given moment. Taken together, the authors hope that these contributions allow organizational scholars a new approach to theorizing, exploring, and writing about the organizations they study.

Early in one’s career in psychology, certainly starting in graduate school, if not sooner as a psych major in college, a choice point gradually emerges between seeking a career as a scholar, a scientist, and perhaps as an academic versus pursuing the life of a practitioner, one who applies the work of the former, the scholar. We faculty will often cast this choice in the form of a “tension” between science and practice. Ironically, I have never felt such tension. The purpose of this chapter is to explore choices we make in life and career, the consequences of these choices, and what we can learn in the process, that is, along the way and the implications for organization change and development.

Until recently there were very few publications dealing with comparison of different CDROM information retrieval software packages (Richards & Robinson 1993). The few exceptions (e.g. Harry & Oppenheim 1993; Jacsó 1991; McFaul 1992; Tian‐Zhu 1991; Zink 1991) mostly deal only with the principles of such comparisons, not with actual comparisons, and mostly only with user interfaces, not with the software as a whole. They usually give collections of rules — how to rank the CDROM publications, how to give ‘award marks’ to them — but this usually characterises CDROM publications and databases, not the software itself. Moreover, the performance factors, the properties most important for professional searchers, are usually completely missing from these collections of rules.

This paper reviews the current literature on theoretical and methodological issues in discrete choice experiments, which have been widely used in non-market value analysis, such as elicitation of residents' attitudes toward recreation or biodiversity conservation of forests.

We review the literature, and attribute the possible biases in choice experiments to theoretical and empirical aspects. Particularly, we introduce regret minimization as an alternative to random utility theory and sheds light on incentive compatibility, status quo, attributes non-attendance, cognitive load, experimental design, survey methods, estimation strategies and other issues.

The practitioners should pay attention to many issues when carrying out choice experiments in order to avoid possible biases. Many alternatives in theoretical foundations, experimental designs, estimation strategies and even explanations should be taken into account in practice in order to obtain robust results.

The paper summarizes the recent developments in methodological and empirical issues of choice experiments and points out the pitfalls and future directions both theoretically and empirically.

Advocates of market-based reforms in the public sector argue that competition between providers drives up performance. But in the context of schooling, the concern is that any improvements in efficiency may come at the cost of increased stratification of schools along lines of pupil ability and attainments. In this chapter, we discuss our empirical work on competition and parental choice in English primary schools and present a methodology for identifying competition effects that exploits discontinuities in market access close to education district boundaries.

Strategies to promote more sustainable consumer choices have been gaining interest among tourism and hospitality scholars. In particular, behavioral economic theories of decision-making have gained popularity in the past decade, led by behavioral interventions (BIs) such as the nudge movement. This paper aims to present a critical reflection on this recent trend, with a specific focus on whether these BI approaches are an adequate tool to contribute to long-term behavioral changes, one crucial aim of the promotion of sustainable consumption.

Based on a critical review of recent significant academic works in the field, this paper reflects on how nudge principles are applied in the hospitality and tourism sectors, as well as the usual justifications given for their use. This paper then discusses the potential limitations, both theoretical and practical, of using these short-term focused approaches to decisions that intend to have long-term outcomes and aims.

BIs in hospitality and tourism have the potential to create long-term sustainable changes through a more comprehensive view of behavioral factors influencing decisions; however, such approaches would need to be strongly embedded in theoretical arguments that question “how” and “why” behavior change could be sustainable in the long term. This paper proposes a conceptual framework to address these concerns for future research.

This critical reflection proposes a comprehensive framework that will help guide stronger theoretically motivated identification, design and empirical testing of BIs and nudges. Industry can eventually benefit from theoretically stronger interventions that provide a balance between the short-term and long-term influence of BIs to attain customer loyalty and eventually greater value for business stakeholders.

This reflection paper critically reviews the basis of BIs and recommends a framework to strengthen their theoretical arguments. This reflection focuses on the theoretical critique of BIs and nudges to ensure long-term behavior changes are sustainable. The paper also proposes a comprehensive framework that incorporates well-founded theoretical models to enhance BIs and nudge literature.

The purpose of this paper is to propose an interpolation-based projection framework for model reduction of quadratic-bilinear systems. The approach constructs projection matrices from the bilinear part of the original quadratic-bilinear descriptor system and uses these matrices to project the original system.

The projection matrices are constructed by viewing the bilinear system as a linear parametric system, where the input associated with the bilinear part is treated as a parameter. The advantage of this approach is that the projection matrices can be constructed reliably by using an a posteriori error bound for linear parametric systems. The use of the error bound allows us to select a good choice of interpolation points and parameter samples for the construction of the projection matrices by using a greedy-type framework.

The results are compared with the standard quadratic-bilinear projection methods and it is observed that the approximations through the proposed method are comparable to the standard method but at a lower computational cost (offline time).

In addition to the proposed model order reduction framework, the authors extend the one-sided moment matching parametric model order reduction (PMOR) method to a two-sided method that doubles the number of moments matched in the PMOR method.

The purpose of this paper is to examine the relationships among choice of industry diversification, capabilities and business group performance, as well as to point out the potential concern about endogenous role of industry diversification.

Using data from the top 100 business groups in Taiwan from TEJ database. This study uses Heckman’s two-step estimation procedure and contingency model to achieve unbiased results and examine our hypotheses.

The results of this study find that if business groups’ marketing or operational capabilities are strong they should adopt a high level of diversification strategy and if business groups’ R&D capability is strong they should adopt a low level one. The results of this study also show that the endogenous problem of industry diversification exists, and needs to be considered. Moreover, our finding confirms the importance of capability–strategy fit, which, in turn, can achieve better performance.

On average, high industry diversification groups perform better than low industry diversification groups after controlling for endogeneity issues. Business groups can achieve better performance if their strategy choices match the capabilities they encounter. Managers should pay attention to strategy-capability fit issues. Specifically, they should review their organizational capabilities as well as check their strategies within firms.

This study is one of the first that attempts to explore the endogenous role of diversification strategy choices, and empirical examine strategy-capability fit on business group performance.

The current innovation environment is characterized by complexity, networking and internationalization and calls for managerial approaches that not only foster value‐capture activities, but acknowledge value creation as equally important. The purpose of this study is to clarify and define in more useful conceptual detail the nature of value creation, an area within the Knowledge Management field that has not received as much research scrutiny as it warrants. The authors' main contribution in unpacking a logic of problem finding is to expand understanding of how organizations choose valuable problems on which to work.

The research findings are based on a literature review. In particular, the paper aims to increase understanding of value creation in innovation by critically examining and augmenting the problem‐finding/problem‐solving (PF/PS) perspective.

Based on the PF/PS approach, the paper proposes a managerial cognitive frame that shows the challenges faced by managers in the value creation process and also the associated decision points. The paper argues that three distinct discriminating alignment choices – process selection, problem‐selection, and governance choice – are essential parts of value creation, and can in time lead to efficient value‐capture and improved innovation outcomes. Also, concentrating on the early stages of innovation, the paper identifies relevant processes and the various management biases that impede successful problem‐finding.

As the paper is conceptual, the findings await empirical confirmation. However, the paper presents a framework that will provide a useful basis for further work.

The discussion of problem‐finding and the different processes that can be used to overcome various biases can be utilized by managers to improve processes within their organizations. Using the proposed framework as a tool, organizations can reduce resources wasted trying to solve inappropriately defined problems.

The contribution of the paper lies in presenting a new approach to value creation and capture, with a focus on the neglected area of problem‐finding. A new legalistic bias is specified in some detail, and the importance of awareness of bias by teams to diminish its impact on problem‐finding efficiency is discussed. Closer examination of value creation increases the potential for improved competitive advantage and value‐capture. Limitations of this and prior work are also discussed and directions for future work suggested.

Various consumer-facing artificial intelligence (AI) applications are used to interact with consumers at all purchase stages, and related research has sharply increased. This study aims to synthesize the literature related to consumer–AI interaction using the customer journey framework, identify the factors affecting AI's effectiveness in interactive marketing and offer an agenda for future research.

This study undertakes a framework-based systematic review of 239 articles on AI in marketing from the consumer perspective published in peer-reviewed journals from 2007 to 2021.

This review identifies the roles of AI touch points and factors affecting the acceptance and effectiveness of consumer–AI interaction in each stage of the customer journey.

This study is the first to review the existing literature using a customer journey framework to identify the factors that influence customer interactions with AI touch points at each purchase stage and pave the way for future research.