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The relevance of the use of business models in the measurement of tourist experience has been questioned. Therefore, the purpose of this chapter is to suggest a theoretical framework for the development of a multi-item Business Tourist Experience Value Model.

Against the Behavioural Intentions Model of Fishbein and Ajzen (1975), an alternative Business Tourist Experience Value theoretical model is suggested. This model consists of an integration and re-assessment of different elements from a range of empirical studies.

Experiential value, satisfaction, and post-consumption behavior may play an important role in acquiring information and knowledge creation on how business tourism organizations can use a Business Tourist Experience Value model to enhance service experiences.

Due to the explorative nature of the Business Tourist Experience Value theoretical model, more empirical studies are needed to investigate, test and validate the model.

Results from the theoretical discussion support the inclusion of experiential value, satisfaction, and post-consumption behavior as part of the Business Tourist Experience Value model. Due to the magnitude of the relationships among these dimensions it is expected that the theoretical and practical implications may complement each other. Therefore business tourism managers can use these dimensions as guidelines on how to create valuable experiences for their tourists and perform better.

This theoretical model offers new practices into business tourism managers’ measurement of experiential value, satisfaction, and post-consumption behavior in a business tourism context.

Data science lacks a distinctive identity and a theory-informed approach, both for its own sake and to properly be applied conjointly to the social sciences. This paper’s purposes are twofold: to provide (1) data science an illustration of theory adoption, able to address explanation and support prediction/prescription capacities and (2) a rationale for identification of the key phenomena and properties of data science so that the data speak through a contextual understanding of reality, broader than has been usual.

A literature review and a derived conceptual research model for a push–pull approach (adapted for a data science study in the management field) are presented. A real location–allocation problem is solved through a specific algorithm and explained in the light of the adapted push–pull theory, serving as an instance for a data science theory-informed application in the management field.

This study advances knowledge on the definition of data science key phenomena as not just pure “data”, but interrelated data and datasets properties, as well as on the specific adaptation of the push-pull theory through its definition, dimensionality and interaction model, also illustrating how to apply the theory in a data science theory-informed research. The proposed model contributes to the theoretical strengthening of data science, still an incipient area, and the solution of the location-allocation problem suggests the applicability of the proposed approach to broad data science problems, alleviating the criticism on the lack of explanation and the focus on pattern recognition in data science practice and research.

The proposed algorithm requires the previous definition of a perimeter of interest. This aspect should be characterised as an antecedent to the model, which is a strong assumption. As for prescription, in this specific case, one has to take complementary actions, since theory, model and algorithm are not detached from in loco visits, market research or interviews with potential stakeholders.

This study offers a conceptual model for practical location–allocation problem analyses, based on the push–pull theoretical components. So, it suggests a proper definition for each component (the object, the perspective, the forces, its degrees and the nature of the movement). The proposed model has also an algorithm for computational implementation, which visually describes and explains components interaction, allowing further simulation (estimated forces degrees) for prediction.

First, this study identifies an overlap of push–pull theoretical approaches, which suggests theory adoption eventually as mere common sense, weakening further theoretical development. Second, this study elaborates a definition for the push–pull theory, a dimensionality and a relationship between its components. Third, a typical location–allocation problem is analysed in the light of the refactored theory, showing its adequacy for that class of problems. And fourth, this study suggests that the essence of a data science should be the study of contextual relationships among data, and that the context should be provided by the spatial, temporal, political, economic and social analytical interests.

Amidst the turbulent tides of geopolitical uncertainty and pandemic-induced economic disruptions, the information technology industry grapples with alarming attrition and aggravating talent gaps, spurring a surge in demand for specialized digital proficiencies. Leveraging this imperative, firms seek to attract and retain top-tier talent through generous compensation packages. This study introduces a holistic, integrated theoretical framework integrating machine learning models to develop a compensation model, interrogating the multifaceted factors that shape pay determination.

Drawing upon a stratified sample of 2488 observations, this study determines whether compensation can be accurately predicted via constructs derived from the integrated theoretical framework, employing various cutting-edge machine learning models. This study culminates in discovering a random forest model, exhibiting 99.6% accuracy and 0.08° mean absolute error, following a series of comprehensive robustness checks.

The empirical findings of this study have revealed critical determinants of compensation, including but not limited to experience level, educational background, and specialized skill-set. The research also elucidates that gender does not play a role in pay disparity, while company size and type hold no consequential sway over individual compensation determination.

The research underscores the importance of equitable compensation to foster technological innovation and encourage the retention of top talent, emphasizing the significance of human capital. Furthermore, the model presented in this study empowers individuals to negotiate their compensation more effectively and supports enterprises in crafting targeted compensation strategies, thereby facilitating sustainable economic growth and helping to attain various Sustainable Development Goals.

The cardinal contribution of this research lies in the inception of an inclusive theoretical framework that persuasively explicates the intricacies of a machine learning-driven remuneration model, ennobled by the synthesis of diverse management theories to capture the complexity of compensation determination. However, the generalizability of the findings to other sectors is constrained as this study is exclusively limited to the IT sector.

The purpose of this paper is to investigate which of four well-established theoretical models (i.e. technology acceptance model, theory of planned behavior, unified theory of acceptance and use of technology, decomposed theory of planned behavior (DTPB)) best explains potential users’ behavioral intentions to adopt mobile banking (MB) services.

Drawing on data from 931 potential users in Greece, the structural equation modeling method was used to examine and compare the four models in goodness-of-fit, explanatory power and statistical significance of path coefficients.

Results indicate that the best model is an extension of the DTPB with perceived risk (PR). Customers’ attitude, determined by three rationally-evaluated MB attributes (usefulness, easiness and compatibility), is the main driver of consumers’ intentions to adopt MB services. Additionally, consumers’ perceptions of availability of knowledge, resources and opportunities necessary for using the service, and the pressure of interpersonal and external social contexts toward the use of MB are the other two, less important, adoption drivers. Finally, PR negatively affects attitude formation and inhibits willingness to use MB services.

Findings can help marketers of financial institutions to select the more parsimonious model to develop appropriate marketing strategies to increase adoption rates of MB services.

This is the first study that compares the performance of four well-known innovation adoption models to explain consumers’ behavior in the MB context.

The purpose of this paper is to introduce the upcoming symposium on experimental macroeconomics in the November issue.

Experimental, survey of articles in the symposium.

The paper describes how experiments can be used in macroeconomics.

The paper discusses the rationale for using behavioral experiments in macroeconomics, and summarizes the papers in the symposium.

Analyses a stage‐by‐stage model to simulate the dynamic response of compression systems operating with axial multistage compressors. The compressor model is coupled with two different downstream volume (plenum) representations: the first is zero‐dimensional and the second is one‐dimensional. Both dynamic models utilize complete stage performance curves (direct unstalled flow, stalled flow and back flow) obtained through experimental investigation, or from theoretical analysis based on turbomachinery geometry and semi‐empirical considerations. Analyses in depth the results of the dynamic simulations, obtained utilizing both methods, compared to the experimental data reported in the literature, and finally compares one to the other through a fast Fourier transformer (FFT) analysis.

More and more enterprises have realized the importance of business model innovation. However, the model tools for it are still scarce. There is a clear research gap in this academic field. Therefore, the aim of this study is to put forward a visual business model innovation model.

The scientific literature clustering paradigm of grounded theory is used to design business model innovation theory model (BMITM). BMITM and the business model innovation options traced back from 870 labels in the grounded process are integrated into a unified framework to build the business model innovation canvas (BMIC).

BMIC composed of three levels and seven modules is successfully developed. 145 business model innovation options are designed in BMIC. How to use BMIC is explained in detail. Through the analysis of innovation hotspots, the potential business model innovation directions can be found. A new business model of clothing enterprises using 3D printing is innovated with BMIC as an example.

Compared with the previous tools, BMIC owns a clearer business model innovation framework and provides a problem-oriented business model innovation process and mechanism.

BMIC provides a systematic business model innovation solution set and roadmap for business model innovation practitioners.

BMIC, a new tool for business model innovation is put forward for the first time. “Mass Selection Customization-Centralized Manufacturing” designed with BMIC for the clothing enterprises using 3D printing is put forward for the first time.

Plant-based (PB) and meat-reduced (MR) diets have a positive impact on human and environmental health, yet consumer acceptance of such diets is relatively low. Research investigating factors influencing consumer behavior around PB and MR diets is emerging; however studies lack strong theoretically underpinned, comprehensive theoretical frameworks. In this paper we synthesize factors from current literature and propose a comprehensive theoretical model across different consumer dietary types (e.g. omnivore, flexitarian, pesco-vegetarian) and account for consumer cognitive dissonance to facilitate a transition to MR diets.

The factors are examined in a five-step integrative literature review of empirical literature about PB/MR-related consumer behavior since 1989. Studies are critically assessed across four theories commonly used to explain the different antecedents of sustainable consumer behavior. We focus on the theoretical domains framework with COM-B (capability, opportunity, motivation and behavior) framework, as it provides the strongest foundation for modelling the consumer behavior of interest.

107 studies have empirically investigated PB/MR consumer behavior. Of these, 81 studies applied some COM-B domains, but no study has captured all domains. Scant studies investigating cognitive dissonance in the PB/MR literature have been published. Different consumer dietary types are featured across 47 studies; however, none of the studies comprehensively capture all dietary types and psychological discomfort in different consumer dietary types and cognitive dissonance theory.

To synthesize the findings of the present study, we propose an alternative model to address the before-mentioned gaps identified in our critical analysis. The alternative model captures the relationships between the 12 domains of the COM-B model constructs, psychological discomfort and consumer dietary types in the PB/MR foods setting.

The proposed research model facilitates the transition from MB diets to PB diets in three ways: (1) By differentiating consumer dietary types in terms of the COM domains influencing their PB/MR behaviors, PB-producing businesses could better target their foods to hitherto overlooked consumer dietary categories, such as lacto-vegetarians or emerging categories, such as flexitarians, through more refined segmentation and sharper profiling of consumers. (2) Knowing the level of capabilities of consumers in respect of cooking skills and knowledge about purchasing and preparing PB foods could help marketers develop strategies to improve buyers' skills and knowledge. (3) With an understanding of the opportunities (from the Opportunity domain of the COM-B model), including environmental context and resources and social influences, PB food businesses could more effectively market their PB food products. (4) It provides an understanding of capability, motivation and opportunity factors separately but also the interrelationship between these COM domains, as all these variables are intertwined.

Our ILR with the proposed model and the resulting research helps facilitate progress in the transition to PB diets necessary for more sustainable global food production and consumption.

The paper is the first to critically assess existing PB/MR literature regarding each of the COM-B domains, psychological discomfort and the six dietary types. We propose an alternative research model to address the gaps in literature and explain the antecedents and moderators in PB/MR dietary transition. The proposed model may provide information for practitioners and future researchers to understand a wider range of relevant factors influencing consumer’s behavior in transitioning to PB/MR diets.

Purpose: This chapter aims: (a) to extend biased net models of homophily to complete networks; (b) to extend the scope of application of these models to processes of social exchange in a small-group laboratory setting; and (c) to link the theoretical model of attraction and repulsion with a standard statistical model of logistic regression as a way of estimating and evaluating the model.

Methods: We discuss the logic of biased net theory and show how it leads to formal mathematical models of tie formation and tie renewal under mechanisms of attraction and repulsion. We then estimate key theoretical parameters in the models by means of logistic regression.

Findings: The estimated effects of homophily in our models are moderate in strength, weaker than corresponding reciprocity effect, and processes of tie formation and tie renewal are driven more by considerations of direct reciprocity than group membership. Under attraction, homophily effects are stronger for tie renewal than tie formation. Under repulsion, the opposite holds.

Limitations: Participants in our study are divided into two groups based on a criterion that is likely to have been too weak to induce strong group identity. Measures that enhance the sense of group identity need to be introduced in future studies.

Building on the work of Carroll this article attempts to unravel, explore and explain corporate social responsibility (CSR) as a theoretical construct that has implications and consequences for corporate governance in particular, and more generally for the economy, business and society. It aims to extend Carroll's work on definitional constructs by re‐examining some of the theoretical frameworks that underpin, inform and guide CSR.

Carroll identified different levels, or a pyramid, of CSR and these are outlined and the advantages and disadvantages of a pyramid, levels‐based approach discussed. The main contributions of this article lies is in its exploration of corporate social irresponsibility (CSI) as a concept in contrast to CSR. Bowd, Jones and Tench's CSI‐CSR model is described, explained, analysed and used as a conceptual tool to make the theoretical move from a pyramid or level‐based approach to a more dynamic framework of analysis.

The proposition that CSI is better suited to a shareholder business model and CSR sits more comfortably with a stakeholder business model is examined. It is contested that people often wrongly equate CSR with irresponsible corporate actions. The CSI‐CSR model establishes a theoretical framework around which grounded empirical research can be undertaken, applied and on which it can be reported.

This is a new area of research that addresses a gap in the literature and puts forward innovative theoretical models. Discussing the concept of irresponsibility makes for an interesting theoretical move. It questions the idea that corporations and business per se are always or necessarily socially responsible.

In looking at and developing existing theoretical models, concepts and frameworks and exploring their merits, shortcomings and limitations, the article will be of interest and relevance to the business and academic communities. If there is such a thing as CSR then the implication is that there is such a thing as CSI and it is on this issue that this article seeks to promote and stimulate discussion.