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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.

The two major entrepreneurial motivations of being “pushed” or “pulled” to start a business have been frequently explored in the entrepreneurship literature. In the global wine industry, thousands of small entrepreneurial wine businesses are flourishing, but few have been started by Black entrepreneurs. What is missing from the research is an exploration of the motivations of these entrepreneurs and what the industry can do to encourage the entrance of more minority entrepreneurs. The purpose of this study is to apply push–pull theory to better understand the motivations and challenges of what prompts Black entrepreneurs to start and succeed in the wine industry.

This exploratory study uses a qualitative methodology of 42 in-depth interviews with US Black winemakers, retailers, and other wine business owners conducted over Zoom. The data were analyzed using Otter software and a thematic coding process for 2,120 pages of rich text.

Findings included 12 motivation themes and 12 challenges for Black wine entrepreneurs, with more emphasis on “push” versus “pull” motivation factors. Many of these entrepreneurs were “pushed” to participate in the industry to create a more inclusive space for Black wine consumers and to create opportunities for other Black professionals and minorities in the industry. Managerial implications include solutions for more inclusive marketing and workplace culture.

This study contributes to push–pull theory by offering a unique perspective on the motivations of Black wine entrepreneurs, as well as being the first study, to the best of the authors’ knowledge, to focus on this issue.

Entrepreneurial motivations are often defined as fitting into “push” or “pull” categories. To date, research has focused on the factors motivating men and women separately. What is missing from this research is an analysis of the comparative differences in these motivators of men and women, and an exploration of what this means in terms of push‐pull theory. This paper aims to contribute by applying the existing theory on push and pull factors; and using a gender comparative approach to explore the nature of potential gender differences within entrepreneurial motivations.

This exploratory study uses a gender comparative approach in semi‐structured, face‐to‐face interviews with 75 entrepreneurs (28 women and 47 men).

Findings suggest that both women and men appeared similarly motivated by a combination of push and pull factors. Three gender differences were found in the incidence of motivations: women were more influenced by a desire for independence; women considered their children as motivators more so than did men; men were influenced more by job dissatisfaction than were women. The discussion focuses on analysing the nature of gender differences rather than merely their incidence.

A number of further research directions and questions are posed as a way of extending the knowledge in this area. Implications for managers and entrepreneurs are also presented.

Contributes to push‐pull theory by offering a gender comparative approach to advance theory.

The main aims of this study were to develop analytical scales for yachting tourism push-pull motivations and constraints, and analyze how these factors may influence the revisit intention of yachting tourists in China.

The analysis was conducted using the PLS-SEM, including the evaluation of measurement models and the structural models. SPSS18.0 and SmartPLS 3.3.5 software were used for statistical analysis.

We conducted a survey of 451 respondents who participate in yachting activities in Dalian, China and identified six push motivational factors (novelty and stimulation, sightseeing and leisure, sports and learning, social relationships, self-esteem and prestige and self-realization), three pull motivational factors (featured activities and services, destination environment, destination facilities) and two constraints (internal and external). Partial least squares structural equation modelling showed that all hypothesized interactions between identified factors were statistically significant and meaningful.

The push-pull-constraint model offers a new interpretation to the traditional push-pull model in theory, and the results contribute to local yacht industry sectors.

Previous studies on cyberloafing have so far not focused on the interlinkages among push factors, pull factors, consequences of actions and value orientations of the employees in a comprehensive manner. The purpose of this study is to close that gap by integrating push-pull theory with means-end chain framework.

Using a soft-laddering technique, semi-structured interviews were conducted with 21 Indian employees from various organizations with prior written consent. After performing the content analysis and preparation of ladders, an implication matrix and a hierarchical value map were constructed using the LadderUX tool.

“Upholding conversational conformity,” “achieving efficiency through noise cancellation,” “addressing occasional requirements,” “social networking as a coping mechanism,” “staying informed and sharing opinions,” “attempting job or profile alteration” and “fulfilling transactional obligations” turned out to be the seven prominent means-end chain patterns, with their respective push-pull factors, consequences and value orientations. This study also suggested the multifaceted character of cyberloafing in a continuum, from “serious-destructive” to “minor-positive” to “facilitative-productive.”

This study has been conducted by focusing on cyberloafing at physical workplaces and not in the context of distributed work environments.

The findings of this study will enable organizations to frame an appropriate set of guidelines to control this behavior.

To the best of the authors’ knowledge, this study is the first to integrate the push-pull theory and means-end chain framework to explore the nuances of cyberloafing among employees.

A rash of security incidents in ride-sharing have made discovering the mechanisms to repair consumers' trust essential for the information technology (IT)-enabled ride-sharing platforms. The purpose of this paper is to explore how the two response strategies (i.e. security policies [SPs] and apologies) of platforms repair passengers' trust and whether the two implementation approaches of SPs (i.e. pull and push) lead to different results in repairing passengers' trust in the platforms.

A field survey based on a real scenario (n = 238) and an experiment (n = 245) were conducted to test the hypotheses empirically. Structural equation modeling and one-way analysis of variance (ANOVA) are employed in the data analyses.

This study finds that (1) both SPs and apologies aid in repairing trust; (2) repaired trust fully mediates the influence of SPs on continuance usage and partially mediates the influence of apologies on continuance usage; (3) security polices and the three dimensions of apologies play different roles in repairing trust and retaining passengers and (4) both pull-based and push-based SPs can repair the violated trust; however, the effect of the pull approach is greater than that of the push approach.

The findings provide guidelines for ride-sharing platforms in taking appropriate actions to repair users' trust after security incidents.

The findings reveal the mechanism of trust repairing in the fields of ride-sharing and extend the contents of the trust theory and pull–push theory.

How to improve continuance commitment for platform workers is still unclear to platforms' managers and academic scholars. This study develops a configurational framework based on the push-pull theory and proposes that continuance commitment for platform workers does not depend on a single condition but on interactions between push and pull factors.

The data from the sample of 431 full-time and 184 part-time platform workers in China were analyzed using fuzzy-set qualitative comparative analysis (FsQCA).

The results found that combining family motivation with the two kinds of pull factors (worker's reputation and algorithmic transparency) can achieve high continuance commitment for full-time platform workers; combining job alternatives with the two kinds of pull factors (worker's reputation and job autonomy) can promote high continuance commitment for part-time platform workers. Particularly, workers' reputations were found to be a core condition reinforcing continuance commitment for both part-time and full-time platform workers.

The findings suggest that platforms should avoid the “one size fits all” strategy. Emphasizing the importance of family and improving worker's reputation and algorithmic transparency are smart retention strategies for full-time platform workers, whereas for part-time platform workers it is equally important to reinforce continuance commitment by enhancing workers' reputations and doing their best to maintain and enhance their job autonomy.

This study expands the analytical context of commitment research and provides new insights for understanding the complex causality between antecedent conditions and continuance commitment for platform workers.

The purpose of this paper is to investigate consumer motivations to boutique hotels in Xiamen, China with the push-pull theory.

The survey for this study was conducted in boutique hotels in Xiamen, China.

The results indicated identified “uniqueness-seeking,” “interpersonal experience,” and “social networking” as the primary push motivations and “decoration & theme” and “site value” as the primary pull motivations.

The study is anticipated to provide the industry practitioners in boutique hotels marketing strategies such as positioning, packaging, and advertising.

The purpose of this research is to explore the motivators and barriers faced by successful women entrepreneurs in Vietnam, a country with high rates of early-stage and established business ownership by women. By integrating the push-pull theory with macro, meso, and micro-level factors, this study provides a comprehensive overview of the factors influencing female entrepreneurship in this context.

The data for this exploratory qualitative study were collected through in-depth semi-structured interviews with 31 successful female entrepreneurs in Vietnam. The analysis was conducted using NVivo software, employing thematic analysis to identify the motivators and barriers associated with women’s entrepreneurship.

The findings indicate that women are motivated to start businesses by push factors like job dissatisfaction, economic improvement, and family support, as well as pull factors such as time flexibility, autonomy, and personal development. Barriers are identified at different levels: micro-level challenges include lack of financial support, inadequate skills, and work-life balance issues; meso-level barriers involve insufficient training programs, and macro-level barriers are shaped by gender prejudice. Notably, specific to the sectors, the lack of business training is a major challenge for women in consultancy, tourism, and retail sectors, alongside financial constraints in retail and services.

As a theoretical contribution, this study presents a novel model that integrates push/pull theory with macro, meso, and micro-level factors to analyze the motivators and barriers for female entrepreneurship. This integrated model offers a comprehensive view of women’s entrepreneurship in Vietnam’s transitional economy, enhancing understanding of their motivations and challenges, addressing existing gaps, and suggesting practical implications.

The purpose of this paper is to identify push and pull factors that motivate decision makers to choose wedding banquet venues, and to explore the relationships between the motivational factors and demographic information.

The initial questionnaire was pre-tested involving a sample of six graduate students in a hospitality management program of a major university in the Midwestern USA. The wordings were changed based on their feedback. The final survey was consisted of three sections: push motivations, pull motivations, and demographic information. In the first section, 13 push motivation statements were employed to investigate decision makers' reasons for selecting a wedding banquet venue.

The four push factors identified included “seeking relaxation and knowledge,” “fulfilling prestige,” “escaping from daily routine,” and “social networking.” The six pull factors were composed of “budget,” “atmosphere,” “facilities,” “wedding services,” “transportation,” and “service and quality.”

The study helps event industry practitioners understand consumers’ motivations of choosing wedding venues and predict consumers’ behavior. It further suggests marketing strategies to effectively communicate with existing and potential consumers.