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The purpose of this paper is twofold: first is to map and analyse prominent contributions, current dynamics, patterns, gaps and research prospects in the field of workplace incivility (WI); second is to provide a coherent theoretical research framework for future research.

This study adopts a two-step analysis approach by combining bibliometric analysis and systematic literature review to explore the research topic of WI, besides, using multiple methodologies including bibliometric, network and content analyses.

This study found that L. M. Cortina and M. S. Hershcovis are the top two most influential authors among all authors in the sample publications. Journal of Occupational Health Psychology is one of the top-ranking journal that often publishes this topic of articles. USA and The Bowling Green State University are the most influential country and institutions, respectively. Besides, burnout and retention are also common keywords were identified based on keywords co-occurrence map, showing that WI has a major impact on burnout and employee retention. Based on the above analysis, this paper constructed a theoretical research framework of WI.

This paper only draw data from one database—Scopus—which cannot provide broad coverage of the research topic. WI research trends and trajectories may be assessed to enable academics and practitioners better understand the current and future trends and research directions. Future studies in this field might use the findings as a starting point to highlight the nature of the topic.

This study is the first to use an systematic literature review (SLR) to evaluate the association between WI and other organizational behaviour. The study contributions are fourfold, extending the work and overcoming the methodologies of prior research that only focussed on characteristics of incivility in nursing. In addition, this paper presents an in-depth analysis of this topic and provides a comprehensive theoretical research framework for future study.

This literature review paper attempts to discuss and present one’s current knowledge on the wide spectrum of stakeholder relationship management, to highlight future research opportunities.

The research is based on a literature review methodology involving different streams of research.

Diverse and distinct sections concerning stakeholder relationship management with specific regard to corporate governance and CSR, entrepreneurship and open innovation/open social innovation are discussed.

The paper presents future research opportunities concerning the wide spectrum of stakeholder relationship management.

A substantial body of research evidence has now accumulated in the cause-related marketing (CRM) literature. Yet, research on positive word of mouth (WOM) in the CRM domain is scarce. Based on this, the purpose of this paper is to present a framework that enhances positive WOM persuasion in a CRM context.

Specifically, the authors explore collectivism as a contextual dimension for positive WOM persuasion in a CRM setting and discusses three novel constructs for effectively designing such campaigns, namely, cause proximity, choice of donation type and choice variety of donation types in a single offering frame. Based on conceptual logic and drawing on literature from a variety of disciplines, this framework should provide deeper insight into achieving positive WOM persuasion with CRM strategy and implementation.

Additionally, the analysis leads to specific research questions regarding the associations between these contrasts and positive WOM persuasion in a CRM context.

Finally, the managerial and theoretical contributions are discussed, as well as directions for further research.

In the current business environment, more uncertain than ever before, understanding consumer behavior is an integral part of an organization's strategic planning and execution process. It is the key driver for becoming a market leader. Therefore, it is important that all processes in business are customer centric. Marketers need to harness big data by engaging in data driven-marketing (DDM) to help organizations choose the “right” customers, to “keep” and “grow” them and to sustain “growth” and “profitability”. This research examines DDM adoption practices and how companies can aim to enhance shareholder value by bringing about “customer centricity”.

An online survey conducted in 2016 received 180 responses from junior, middle and senior executives. Of the total responses, 26% were from senior management, 39% from middle management and the remaining 35% from junior management. Industries represented in the survey included retail, BFSI, healthcare and government, automobile, telecommunication, transport and logistics and IT. Other industries represented were aviation, marketing research and consulting, hospitality, advertising and media and human resource.

Success of DDM depends upon how well an organization embraces the practice. The first and foremost indicator of an organization's commitment is the extent of resources invested for DDM. Respondents were divided into four categories; Laggards, Dabblers, Contenders and Leaders based on their “current level of investments” and “willingness to enhance investments” soon.

With storming digital age and the development of analytics, the process of decision-making has gained significant importance. Judgment and intuition too are critical to the process. Choosing an appropriate action cannot be done strictly on a rational basis.

The results of the study offer interesting implications for managing the growing sea of data. An iterative and incremental approach is the need of the hour, even if it has to start with baby steps, to invest in and reap the fruits of DDM. The intention to use any system is always dependent on two primary belief factors: perceived usefulness and perceived ease of use; however, attitudes and social factors are equally important.

There is a dearth of knowledge with regards to who is and is not adopting DDM, and how best big data can be harnessed for enhancing effectiveness and efficiency of marketing budget. It is, therefore, imperative to build a knowledge base on DDM practices, challenges and opportunities. Better use of data can help companies enhance shareholder value by bringing about “customer centricity”.

The purpose of this paper is to verify the preferences for the purchase of rosé wine by Italian and French Millennials, with the aim of allowing Italian companies to acquire knowledge in improving the positioning of this product in both the Italian and French markets.

The study involved a descriptive survey conducted between December 2018 and January 2019 on Millennials residing in Italy and France, intercepted via Facebook. In total, 500 valid responses to a highly structured self-administered questionnaire were collected. Descriptive and multivariate analysis techniques were used to examine the responses.

The two groups of Millennials show different preferences in the purchase of rosé wine. French Millennials rarely buy the product, and perhaps only for reasonable prices. Their purchasing process involves no characteristics of particular importance. On the other hand, Italian Millennials buy the product with a higher frequency and show a greater propensity to spend. In general, they attribute greater importance (though not a great deal of importance) to the characteristics of the product, paying attention to both its intrinsic aspects and its territorial origin and the quality certifications.

The main limitation of the research is the small sample size. Future insights into the consumption of rosé wine will be sought in other significant European markets.

This study is of value to academic researchers, wine industry practitioners and other members of the wine distribution channel, as it provides insights into consumer behavior differences.

This research is the first to compare rosé wine preferences of Millennials in France and Italy.

The purpose of this study is to assess the significance of employee work flexibility and the policy of the organization for survival during any crisis. This study also investigates the moderating role of leadership support (LS) during such turbulent conditions.

This study has used literature from the fields of organization performance, human resources and organization policy (OP), along with the theories of resource-based view (RBV) and dynamic capability view (DCV) to develop a conceptual model. Later, the conceptual model is validated using the structural equation modeling technique. The study used a survey method with a sample of 311 participants. These participants are employed as human resource managers (HRM) and other supportive workforce at different levels in the organizations.

The study shows that innovativeness and employee flexibility (EFL) are critical toward organizations’ survival during any crisis. Also, the study highlights the importance of OP and LS for the survival of organizations during and after any turbulent condition.

This study provides valuable inputs to the leadership teams of organizations, especially HRM. This research also provides food for thought for policymakers and researchers in the field of organizational performance. This study also contributes to the overall body of literature on organization analysis and extends the literature on RBV and DCV.

The study adds value to the overall body of literature on organization performance and capabilities along with human resource management. Few studies have nurtured issues on EFL during turbulent conditions. Also, there are limited studies in the areas of OP such as favorable and unfavorable policies toward employees. Thus, this study can be considered unique. Moreover, the study investigates the moderating role of LS which adds value toward the body of literature on organizational leadership capability.

Cause-related marketing (CRM) is an ever growing marketing strategy developed by companies that may result in a win-win-win strategy for business, non-profit organizations and society. However, the specific relationship between CRM and consumers purchase intentions (PI) has been analyzed in a fragmented way within the mainstream literature. Grounding on this, the purpose of this paper is to give a more comprehensive and fine grained view of this phenomenon, testing the effect of several moderators on the relationships between CRM and consumers PI in two different countries.

The sample consists of 234 Italian (individualistic culture) and 164 Brazilian (collectivist culture) consumers surveyed online. Ordinary least squares analysis has been carried out in order to test the moderator effects hypothesized.

Regarding Italian respondents, the author found positive evidence for moderator effects of the perception of CRM goal achievement (GA), brand-fit (BF) and gender. On the contrary, the author did not find a significant moderator effect of brand-use, while the author found it significant but negative for Brazilian respondents. Moreover, the author found that the perception of CRM GA does not moderate the aforementioned relationship for Brazilians while BF and gender still have positive effects.

A more fine grained picture of the CRM–PI relationships have been provided through the empirical test of several moderators, finding different effects in individualistic (Italians) and collectivist culture (Brazilians), thus deriving interesting implications in the international marketing field of research.

A retail brand is an asset of value to the stakeholders. Nurturing it enhances quality and stability of earnings. Franchising it across emerging countries provides an opportunity for growth. The challenge, however, is to ensure that the brand stays “connected” with the local markets and “relevant” during changing times. Current research is highly inadequate in guiding the retail brands to stay vibrant when traveling to emerging markets. This research aims to look at how a successful fashion brand in the UK is struggling to grow its retail business through franchise in the Middle East. While the opportunity is vast, the retail brand has been struggling for it has not stayed “relevant”. The paper seeks to present a framework for monitoring its performance so the retail brand can “stay alive”.

Qualitative research was done to understand the profile of the walk‐in customers, their shopping behavior, spending motives, and lifestyles. Quantitative research was done to ascertain how the retail brand was perceived in comparison with other brands in the choice set. Further, the study investigated if the shoppers’ profile and preferences varied across different outlets located in different malls.

By carrying out the analyses, distinct segments were deciphered. It has been noticed that the customer profiles for the retail brand studied varied across different retail locations. Variations in their shopping preferences implied that different merchandising and in‐store promotion activities are required at different outlets to connect with different segments.

The research addresses the gaps in existing literature. The study emphatically confirms that a retail brand franchised cannot take its existence for granted. The study also presents a framework – a dashboard of retail metrics, for measuring, monitoring, evaluating and rejuvenating the performance of retail brands.

Advanced computational methods help to solve complex engineering problems via finite-element simulation. However, uncertainties during the process occurred due to the nature of geometry, material properties, loading, and boundary conditions. These inaccuracies affect the accuracy of results obtained from the analysis. This paper aims to analyse the uncertainty parameters of a finite element model in Excel-Visual Basic Application (VBA) by applying a random simulation method.

This study focuses on a finite element model with a different mesh. Young's Modulus, E, Poisson's ratio, and load, L are the uncertainty input parameters considered random variables.

Results obtained proved that the finite element model with the most nodes and elements has better solution convergence.

Random simulation method is a tool to perform uncertainty analysis of a finite element model.