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In this response, we provide our insights and replies on the commentaries of Riordan and Lawrence. To Lawrence’s point that few organizational scholars grow up in multi-level communities, we offer the adage “sad, but true.” We agree with Riordan and Lawrence that better multi-level education is necessary to improve the diversity and demography field, and therefore offer suggestions regarding how to increase our levels-based proficiencies in research. Primarily, however, we focus our suggestions on improving levels-based theoretical proficiencies within diversity and demography research and augment those recommendations we provided in our review study. Before addressing levels-based measurement and analytic issues, the overwhelming inattention paid to multi-level theoretical issues within diversity and demography must be reconciled.

We appreciate the perspectives developed in the Riordan and Lawrence commentaries regarding our evaluation of levels of analysis issues in diversity and demography research. We will address both commentaries, as each tended to focus on a different aspect of our diversity and demography review. For example, Riordan makes the point that we did not provide specific enough solutions to direct future research in the diversity and demography area, while Lawrence takes a more philosophical approach to examining the concepts of diversity and demography research as a whole.

U.S. industry–university (I–U) relations around intellectual property (IP) have become increasingly contentious since the Bayh-Dole Act of 1980, while especially lucrative patents and licenses resulting from biomedical and pharmaceutical discoveries capture the headlines. Some assert that I–U relations around IP are in crisis, others suggest that no such problem exists, and still others bemoan the “increasing commercialization” of U.S. education. This chapter develops a multi-level model of I–U IP dynamics, drawing on pluralistic, multi-theory perspectives, field interviews, and secondary data. The model includes three levels: the institutional (economy) level, I–U (sector) level, and the organizational level. These levels jointly affect the immediate context of any deal. The chapter closes with a discussion of this model's implications for further research and some theoretical speculations.

The study here examines how business actors adapt to changes in networks by analyzing their perceptions or their network pictures. The study is exploratory or iterative in the sense that revisions occur to the research question, method, theory, and context as an integral part of the research process.

Changes within networks receive less research attention, although considerable research exists on explaining business network structures in different research traditions. This study analyzes changes in networks in terms of the industrial network approach. This approach sees networks as connected relationships between actors, where interdependent companies interact based on their sensemaking of their relevant network environment. The study develops a concept of network change as well as an operationalization for comparing perceptions of change, where the study introduces a template model of dottograms to systematically analyze differences in perceptions. The study then applies the model to analyze findings from a case study of Norwegian/Japanese seafood distribution, and the chapter provides a rich description of a complex system facing considerable pressure to change. In-depth personal interviews and cognitive mapping techniques are the main research tools applied, in addition to tracer studies and personal observation.

The dottogram method represents a valuable contribution to case study research as it enables systematic within-case and across-case analyses. A further theoretical contribution of the study is the suggestion that network change is about actors seeking to change their network position to gain access to resources. Thereby, the study also implies a close relationship between the concepts network position and the network change that has not been discussed within the network approach in great detail.

Another major contribution of the study is the analysis of the role that network pictures play in actors' efforts to change their network position. The study develops seven propositions in an attempt to describe the role of network pictures in network change. So far, the relevant literature discusses network pictures mainly as a theoretical concept. Finally, the chapter concludes with important implications for management practice.

Scanning both the academic and popular business literature of the last 40 years puzzles the alert reader. The variety of prescriptions of how to be successful (effective, performing, etc.) 1 Organizational performance, organizational success and organizational effectiveness will be used interchangeably throughout this paper.1 in business is hardly comprehensible: “Being close to the customer,” Total Quality Management, corporate social responsibility, shareholder value maximization, efficient consumer response, management reward systems or employee involvement programs are but a few of the slogans introduced as means to increase organizational effectiveness. Management scholars have made little effort to integrate the various performance-enhancing strategies or to assess them in an orderly manner.

This study classifies organizational strategies by the importance each strategy attaches to different constituencies in the firm’s environment. A number of researchers divide an organization’s environment into various constituency groups and argue that these groups constitute – as providers and recipients of resources – the basis for organizational survival and well-being. Some theoretical schools argue for the foremost importance of responsiveness to certain constituencies while stakeholder theory calls for a – situation-contingent – balance in these responsiveness levels. Given that maximum responsiveness levels to different groups may be limited by an organization’s resource endowment or even counterbalanced, the need exists for a concurrent assessment of these competing claims by jointly evaluating the effect of the respective behaviors towards constituencies on performance. Thus, this study investigates the competing merits of implementing alternative business philosophies (e.g. balanced versus focused responsiveness to constituencies). Such a concurrent assessment provides a “critical test” of multiple, opposing theories rather than testing the merits of one theory (Carlsmith, Ellsworth & Aronson, 1976).

In the high tolerance level applied for this study (be among the top 80% of the industry) only a handful of organizations managed to sustain such a balanced strategy over the whole observation period. Continuously monitoring stakeholder demands and crafting suitable responsiveness strategies must therefore be a focus of successful business strategies. While such behavior may not be a sufficient explanation for organizational success, it certainly is a necessary one.

Does staffing contribute to organizational effectiveness and sustained competitive advantage, or are many of staffing’s implications merely cross-level fallacies? This article provides a critical examination of staffing research and practice, and proposes a multilevel model of staffing that ties together micro (e.g. personnel selection), meso (e.g. team staffing), and macro (e.g. organizational strategy, Human Resources practices) theory, research, and practice. The model is both integrative and prescriptive, providing a basic organizing structure for examining staffing research within and across levels. The article begins with a review of multilevel theory, followed by a review and critique of the dominant staffing paradigms from a multilevel perspective. It is shown these single level paradigms cannot answer many of the primary questions of interest to staffing specialists. In contrast, the multilevel staffing model not only addresses these limitations, but also prompts a variety of new predictions that oftentimes run counter to prevailing wisdom. Staffing specialists are challenged to show how our science and practice contribute to better functioning organizations.

Recent research develops theory and evidence to understand how organizations come to be seen as “actors” with specified features and properties, a core concern for phenomenological institutionalism. The authors use evidence from changes in research designs in the organizational study of institutional logics as an empirical strategy to add fresh evidence to the debates about the institutional construction of organizations as actors. The case is the research literature on the institutional logics perspective, a literature in which organizational and institutional theorists grapple with long-time social theory questions about nature and context of action and more contemporary debates about the dynamics of social orders. With rapid growth since the early 1990s, this research program has elaborated and proliferated in ways meant to advance the study of societal orders, frames, and practices in diverse inter- and intra-organizational contexts. The study identifies two substantive trends over the observation period: A shift in research design from field-level studies to organization-specific contexts, where conflicts are prominent in the organization, and a shift in the conception of logic transitions, originally from one dominant logic to another, then more attention to co-existence or blending of logics. Based on this evidence, the authors identify a typology of four available research genres that mark a changed conception of organizations as actors. The case of institutional logics makes visible the link between research designs and research outcomes, and it provides new evidence for the institutional processes that construct organizational actorhood.

This commentary provides a review of the Dionne, Randel, Jaussi and Chun paper on levels of analysis issues within diversity and demography research. The commentary points out the complexity of levels of analysis issues within the field of diversity. Additionally, it identifies some questions that researchers should be addressing about levels of analysis issues within diversity research.

The purpose of this paper is twofold. The first is to review the extant literature on hospitality management by tracking past research patterns and critically reviewing the use of multilevel theory and techniques in this stream of research. The second is to suggest potential research opportunities to stimulate a leap forward in the current multilevel research.

To answer the four main research questions raised by the current review, the author performed a critical analysis of a total of 149 selected articles published between 2011 and 2021 in seven leading hospitality management journals.

Overall, the number of multilevel studies has increased significantly since 2017. However, some deficiencies remain: a lack of fit between the level of theory and the level of measurement, the revelation of insufficient information, misspecification of the multilevel model and small sample sizes at higher levels. Furthermore, several interesting and understudied topics are also identified as ripe for future investigation.

In addition to encourage the scholars in hospitality management to assess the possibility of using the multilevel research design for their research topics, the current article also provides recommendations and opportunities for the future multilevel research.

This article is a pioneer in providing a critical synthesis of multilevel research in the field of hospitality management. Although reviews of the issues involved in multilevel research are available in the existing literature, none of them focuses on the situation and needs of hospitality management. As multilevel research increases in popularity, this review offers a snapshot of the introductory phase and outlines important issue in conducting such research.

This paper is an exploratory study of one approach to incorporating situational information into information retrieval systems, drawing on principles and methods of discourse linguistics. A tenet of discourse linguistics is that texts of a specific type possess a structure above the syntactic level, which follows conventions known to the people using such texts to communicate. In some cases, such as literature describing work done, the structure is closely related to situations, and may therefore be a useful representational vehicle for the present purpose. Abstracts of empirical research papers exhibit a well‐defined discourse‐level structure, which is revealed by lexical clues. Two methods of detecting the structure automatically are presented: (i) a Bayesian probabilistic analysis; and (ii) a neural network model. Both methods show promise in preliminary implementations. A study of users' oral problem statements indicates that they are not amenable to the same kind of processing. However, from in‐depth interviews with users and search intermediaries, the following conclusions are drawn: (i) the notion of a generic research script is meaningful to both users and intermediaries as a high‐level description of situation; (ii) a researcher's position in the script is a predictor of the relevance of documents; and (iii) currently, intermediaries can make very little use of situational information. The implications of these findings for system design are discussed, and a system structure presented to serve as a framework for future experimental work on the factors identified in this paper. The design calls for a dialogue with the user on his or her position in a research script and incorporates features permitting discourse‐level components of abstracts to be specified in search strategies.

This study seeks to provide a broad ranging review that identifies, summarises and integrates the different multi-level approaches contributing to advances in research on measuring IC. This furthermore sets out and highlights an agenda for future research.

Deploying a systematic and thorough review of the literature, the authors were able to identify 60 articles and identify the main theories applied and the respective methodological orientations of these articles across three levels of analysis: micro, meso and macro.

The study's findings suggest that the literature on measuring IC has approached the theme across three different levels –micro, meso and macro. In addition, the results enable the identification of seven dimensions to IC: competitive advantage, economic value generated, resources and capacities, corporate governance, IC components, innovation management and the dissemination of IC.

The mixed-methods approach, which combines a traditional systematic literature review with ontological thematic analysis, casts light on the core aspects that led to the identification of a new approach in the academic literature on measuring IC.

This study puts forward a holistic model with measurements for IC across the three levels of analysis as well as the respective criteria for choosing the variables.

This study represents a first attempt to analyse the emerging literature on IC measurement through a multi-level approach; integrating and extracting the potential theoretical contributions in this field of knowledge; proposing an integrated model as well as a theoretically relevant and innovative research agenda that opens up paths to future research projects.