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The purpose of this study is to gather insights into digital consumer behaviour related to Chinese restaurents by examining visual contents on Tripadvisor platform.

Using the deep learning approach, this research assessed consumer-posted online content of dining experiences by implementing image analysis and clustering. Text mining using word cloud analysis revealed the most frequently repeated keywords.

First, 4,000 photos of nine Chinese restaurants posted on Tripadvisor’s website were analyzed using image recognition via Inception V3 and Google’s deep learning network; this revealed 12 hierarchical image clusters. Then, an open-questionnaire survey of 125 Chinese respondents investigated consumers’ information needs before visiting a restaurant and after purchasing behavior (motives to share).

This study contributes to culinary marketing development by introducing a new analysis methodology and demonstrating its application by exploring a wide range of keywords and visual images published on the internet.

This research extends and contributes to the literature regarding visual user-generated content in culinary tourism.

The purpose of this paper is to explore validity and reliability of a possible collaboration model for wine tourism with a “public” basis, i.e. from the point of view of the municipality engaged in promoting the wine tourism industry insisting on the territory.

The survey, proposing a theoretical/empirical framework, has investigated, through an electronic platform, the municipalities belonging to the National Association of “Wine Cities.”

The research has demonstrated a substantial trustworthiness of the model, with further evidence about the underestimation of stakeholder networks on behalf of Italian small municipalities. A clear difference of perception between non-small municipalities and small municipalities has emerged with regard to the perceived relevance of the collaboration with the territorial wine tourism players/stakeholders.

A recent legislation in Italy, just focused on small municipalities, might help overcome these gaps, between non-small municipalities and small municipalities, releasing in the territories new energies for the development of wine tourism, from both planning and financing points of view.

Italy as country is the largest producer of wine in the world. Similarly, wine tourism, as additional wine business opportunity, is a successful phenomenon in Italy, even though with great margins of development (especially with comparison to the New World of Wine). One of the main limits of this delay is the lack of public-private collaboration, at widespread level, among the players/stakeholders of the sector. The model that has been proposed in this research contributes scientifically and practically to fill this gaps.

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.

Big data is one of the most demanding topics in contemporary marketing research. Despite its importance, the big data-based strategic orientation in international marketing is yet to be formed conceptually. Thus, the purpose of this study is to systematically review and propose a holistic framework on big data-based strategic orientation for firms in international markets to attain a sustained firm performance.

The study employed a systematic literature review to synthesize research rigorously. Initially, 2,242 articles were identified from the selective databases, and 45 papers were finally reported as most relevant to propose an integrative conceptual framework.

The findings of the systematic literature review revealed data-evolving, and data-driven strategic orientations are essential for performing international marketing activities that contain three primary orientations such as (1) international digital platform orientation, (2) international market orientation and (3) international innovation and entrepreneurial orientation. Eleven distinct sub-dimensions reflect these three primary orientations. These strategic orientations of international firms may lead to advanced analytics orientation to attain sustained firm performance by generating and capturing value from the marketplace.

The study minimizes the literature gap by forming knowledge on big data-based strategic orientation and framing a multidimensional framework for guiding managers in the context of strategic orientation for international business and international marketing activities. The current study was conducted by following only a systematic literature review exclusively in firms' overall big data-based strategic orientation concept in international marketing. Future research may extend the domain by introducing firms' category wise systematic literature review.

The study has proposed a holistic conceptual framework for big data-driven strategic orientation in international marketing literature through a systematic review for the first time. It has also illuminated a future research agenda that raises questions for the scholars to develop or extend theory in this area or other related disciplines.

Customer relationship management (CRM) is instrumental to attain and sustain organizational competitive advantage. Innovation in terms of CRM adoption is the key to gain competitive advantage, and being innovative is dependent on how well organizations know about changing demands of customers and their changing ways to gain access to the market. There is hence a need to develop ongoing empirical insights from diverse management perspectives into the effect of CRM adoption on organizational performance. In this context, the purpose of this study is to develop empirical insights in relation to the moderation of technological turbulence in the banking sector.

Primary data were collected and analyzed from 277 CRM staff-members of the banking sector in Pakistan to test a conceptual model. Frequencies of demographics are calculated with correlation and regression analyses using SPSS. The correlation analysis was performed to identify the direction that exists between the dependent and independent variables, and the regression analysis was performed to study the strength/intensity of the independent variable over the dependent variable. Moderating regression analysis was performed to find the moderation effect of technological turbulence on CRM adoption and organizational performance.

The CRM adoption has a critical positive impact on organizational performance in the settings of business-to-customer (B2C) perspective in the banking sector. Moreover, the results uncover that improved client satisfaction through CRM adoption prompts better organizational performance in the B2C organization. The authors also have found that technological turbulence has a negative guiding impact on the association linking with CRM adoption, as well as organizational performance.

The conceptual model that is proposed in this study and supported by empirical insights offers researchers to develop future research studies on the moderating role of technological turbulence to analyze the influence of CRM adoption on organizational performance.

The empirical insights of this study are valuable for the professionals in the banking sector and other B2C organizations to enrich their organizational performance through CRM adoption while considering the moderating role of technological turbulence.

Based on an empirical study, in support of an original conceptual model, the insights of this paper contribute to the extant literature in the CRM, bank marketing and management, service management, B2C marketing and the emerging economy knowledge streams.

Big data management research and practice, however, have received enormous interest from academia and industry; the extant literature demonstrates that the authors have limited understanding and challenges in this knowledge-stream to fully capitalize with its potentials. One of the contemporary challenges is to accurately verify data veracity, and developing value from the verified data for an organization and its stakeholders. Consequently, the purpose of this paper is to develop insights on how the authors could strategically deal with the contemporary challenges in strategic management of big data, related to data veracity and data value.

The inductive–constructivist approach is followed to develop insights at the intersection of dynamic capabilities theory and stakeholder relationship management concept, in order to strategically deal with the contemporary challenges in big data management, related to data veracity and data value.

At the intersection of dynamic capabilities theory and stakeholder relationship management concept, an implication is acknowledged, which has research and practical significance to strategically verify data source, its veracity and value. Following this implication, a framework of a data incubator is proposed to proactively develop insights on veracity and value of data. Empirical insights are also presented in this study to support this initial framework.

For future research in strategic management of big data, academics will have contextual understanding on the particular interconnected and interdependent attributes from dynamic capabilities and stakeholder relationship management research streams to further enhance the understanding on big data management. For practice, these insights will be useful for executives to focus on specific attributes of the proposed data incubator to confirm data veracity and develop insights on how to design, deliver and evaluate stakeholder value based on the verified data.

Following a synthesis at the intersection of dynamic capabilities theory and stakeholder relationship management concept, this study introduces a data incubator to meaningfully deal with the big data management challenges, related to veracity and value of data.

To enhance the understanding of the moderating influence of different bottom of the pyramid (BOP) income segments on the antecedents of pro-poor innovation acceptance.

In this study, 320 BOP consumers with a range of low-to-moderate literacy and low-income levels were used as a convenience non-probability sample for undertaking quantitative analyses.

Only the influence of perceived usefulness on intention is moderated by income segments, such that the effect will be stronger for low-income BOP segment. Moreover, the influences of relative advantage, compatibility and observability on intention are moderated by income segments.

This empirical work has considerable private sector and public policy implications for companies and government designing/selling products for millions of poor people in developing and emerging economies.

This study contributes originally to knowledge in the subject area as there are very few studies that clearly and systematically analyse the key antecedents influencing the adoption intention of pro-poor technological innovations in the BOP market.

The purpose of this paper is to study the impact of wine tourism on rural destination development. Consequently, this study attempts to develop contemporary insights on this under-researched area such as residents’ perceptions of wine tourism and its impact on the rural destination development.

In this study, the authors used a structured survey questionnaire from a random sample of 318 respondents based on the Fruška Gora Mountain in Serbia. Research also used structural equational modeling for empirical econometric testing in this data sample. This technique is appropriate for multivariate analysis.

Personal resident benefit associated with wineries is positively related to resident perceived economic impact (H1) R²=0.624; socio-cultural impact (H2) R²=0.685 and environmental impact (H3) R²=0.716 of wineries on local communities. Looking at the path diagram, the authors concluded that personal resident benefit associated with wineries is strongly related to resident perceived impact of wineries on local communities as regression weights are higher. Other findings relate those residents’ positive perceptions of wine tourism to increases in sales revenue, environmental protection, intrapersonal and interpersonal communication.

The positive attitude of the local population is an essential link of development. Such understanding of residents’ perceptions optimizes destination management in the future and, more importantly, local sustainable development. This has high policy implications.

The present study contributes to the scientific circles by connecting perception research with wine tourism.

The purpose of this study is to understand and accentuate the value of social media in international student recruitment in Lebanese higher education institutions (HEIs). This study analyses the significance of social media and the changes occurring in the means of communicating with the potential international students, with an aim to understand how the HEIs could adapt with the changes to implement a model of engagement to include social media as a fundamental constituent of the Lebanese HEIs’ international student recruitment strategy.

The researchers carried out a study through quantitative descriptive approach by using a probabilistic simple random sample and a self-administered questionnaire on 230 international students from several universities and colleges in Lebanon as a data collection method.

The findings demonstrated a certain level of engagement in social media networks from the part of the students during their search for college or university and course information. Research showed that international students still prefer the traditional sources, apart from social media, during their search. Among traditional media sources, friend, family and university website were the highest in ranking. Among social media sources, Facebook, Instagram, Google+ and YouTube showed the highest ranks. Most students have, indeed, contacted a friend or a university staff for university course information by using social media sites.

For managerial practice, this is an incentive for institutions of higher education to re-evaluate and assess the effective impact of social media on the recruitment of international students and to regulate their social media marketing strategies. For research in international education, the insights of this study are useful to explore further research avenues in the area of capacity building for business innovation, marketing and quality assurance in higher education in the cross-cultural context.

This study offers insights on the implications of social media for international student recruitment strategies in a particular Lebanese context of HEIs.

The purpose of this study is to identify and evaluate the video game ecosystem development in the context of socioeconomic and technological progress while analyzing the role of stakeholders in the video game industry for regional markets' growth.

The paper exploits technological and socioeconomic data in 25 countries grouped into the regions, as a methodological approach that allows identifying and evaluating the determinants of the video game industry's ecosystem development. The authors applied econometric modeling to understand technological, economic and social determinants forming video gaming industry growth in regional markets.

Different types of stakeholders are involved in the video game industry performing particular functions. Using econometric modeling for advanced and developing economies countries, we have found that different stakeholder groups and their engagement dynamics in the video gaming industry directly depend on socioeconomic and technological effects in certain regions of the world.

This study contributes to the knowledge within forming creative clusters around video gaming industry in developed and developing economies countries. The findings bridge the gap between quantitative and qualitative research in stakeholder-related characteristics, and key factors affecting the development of the video gaming market. The analyzed database of industry revenues within specific global regions shed the light on the future functionality of the ecosystem development in the new normal world.