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Purpose: 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. Design/methodology/approach: 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. Findings: 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. Originality/value: 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. [ABSTRACT FROM AUTHOR]

Purpose: In recent years, while the food and grocery retail in developed markets like Western Europe seem to be slowly facing saturation, it has been steadily growing in the Asia–Pacific region markets like India. This is mainly due to the emergence of modern retail and the changing consumer dynamics. This study purposes to assesses whether food and grocery (F&G) shoppers in India are strongly influenced by store-attributes. Design/methodology/approach: Descriptive research design, a cross-sectional survey involving 346 respondents (households) from metropolitan Bengaluru, participated in the study. Data is analyzed with SPSS 21, involving descriptive analysis, 1-way Anova, and confirmatory factor analysis (CFA), which appears useful to confirm the theoretical structure used for the study. Findings: Store-attributes – atmosphere, promotion, convenience, facilities, merchandise, store personnel interaction and services affect F&G store choice decisions. Additionally, significant difference is found in the way respondents perceive the sub-constructs of store-attributes, based on age. Practical implications: The study contributes to the theoretical knowledge on store-attributes and dynamic socio-demographic influences on store choices. It has managerial implications to encourage global retailers use knowledge on store-attributes influences to initiate effective communication and promotion strategies and work at customer relationship management (CRM) that earn profitably in the long run. Originality/value: Today, connected consumers seek shopping experiences that blend physical stores-attributes with other retail formats offerings. This research paper provides insights on shopper expectations of store-attributes, which could be used by global retailers to create delightful shopping experiences and to build CRM, especially when "experience per square foot" is used to measure the retailer's performance. [ABSTRACT FROM AUTHOR]

Purpose: 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. Design/methodology/approach: 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. Findings: 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. Research limitations/implications: 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. Originality/value: 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. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to gather insights into digital consumer behaviour related to Chinese restaurents by examining visual contents on Tripadvisor platform. Design/methodology/approach: 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. Findings: 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). Practical implications: 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. Originality/value: This research extends and contributes to the literature regarding visual user-generated content in culinary tourism. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to improve understanding of the integration between big data (BD) and risk management (RM) in business processes (BPs), with special reference to corporate real estate (CRE). Design/methodology/approach: This conceptual study follows, methodologically, the structuring inter-textual coherence process – specifically, the synthesised coherence tactical approach. It draws heavily on theoretical evidence published, mainly, in the corporate finance and the business management literature. Findings: A new conceptual framework is presented for CRE to proactively develop insights into the potential benefits of using BD as a business strategy/instrument. The approach was found to strengthen decision-making processes and encourage better RM – with significant consequences, in particular, for business process management (BPM). Specifically, by recognising the potential uses of BD, it is also possible to redefine the processes with advantages in terms of RM. Originality/value: This study contributes to the literature in the fields of real estate, RM, BPM and digital transformation. To the best knowledge of authors, although the literature has examined the concepts of BD, RM and BP, no prior studies have comprehensively examined these three elements and their conjoint contribution to CRE. In particular, the study highlights how the automation of data-intensive activities and the analysis of such data (in both structured and unstructured forms), as a means of supporting decision making, can lead to better efficiency in RM and optimisation of processes. [ABSTRACT FROM AUTHOR]

Purpose: 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. Design/methodology/approach: The research is based on a literature review methodology involving different streams of research. Findings: 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. Originality/value: The paper presents future research opportunities concerning the wide spectrum of stakeholder relationship management. [ABSTRACT FROM AUTHOR]

Purpose: 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. Design/methodology/approach: The survey, proposing a theoretical/empirical framework, has investigated, through an electronic platform, the municipalities belonging to the National Association of "Wine Cities." Findings: 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. Practical implications: 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. Originality/value: 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. [ABSTRACT FROM AUTHOR]

Purpose: 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. Design/methodology/approach: 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. Findings: 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. Practical implications: 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. Originality/value: 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. [ABSTRACT FROM AUTHOR]

Purpose: The paper introduces a resource-based linear programming model for resource optimization in small innovative enterprises (SIE). Design/methodology/approach: The model is grounded on resource-based view on the firm and dynamic capabilities approach. Linear programming technique is used to provide the actual framework to the resource-based model. Findings: The paper introduces a new resource-based linear programming model for resource optimization in small innovative enterprises. The conceptual model is grounded on resource-based view (RBV) and dynamic capabilities strategy. The RVB of firm and firm strategy is based on the concept of economic rent. Linear programming technique is used to provide the actual framework to the resource-based model. In developing the versatility concept, study suggests a distinct sight regarding resource fungibility. Study classifies resources into multipliable, rentable and expendable resources to increases adequacy of the model. The developed model includes both tangible and intangible assets such as human capital. The survival rate of SIE in the early stages of life cycle is very low due to the competition among SIEs. In this regard, the greatest advancement of the developed resource-based linear programming model is its simplicity and versatility which is much desirable for the SIE especially in their initial stages of the life cycle. Kelliher and Reinl (2009) argued that micro firms have unique advantage over bigger firms in following term: rate of learning or redeployment of strategy in micro firms is faster than the rate of change in their environment. One very significant feature of the developed resource-based linear programming model is that mathematically the proposed model could easily be transformed into mixed integer or stochastic linear programming models to meet the time variant requirement of small firms especially when it expands its operation. Research limitations/implications: The survival rate of SIE in the early stages of life cycle is very low due to the competition among SIEs. In this regard, the greatest advancement of the developed resource-based linear programming model is its simplicity and versatility which is much desirable for the SIE especially in their initial stages of the life cycle. Kelliher and Reinl (2009) argued that micro firms have unique advantage over bigger firms in following term: rate of learning or redeployment of strategy in micro firms is faster than the rate of change in their environment. One very significant feature of the developed resource-based linear programming model is that mathematically the proposed model could easily be transformed into mixed integer or stochastic linear programming models to meet the time variant requirement of small firms especially when it expands its operation. Originality/value: One very significant contribution of the present study is that the study develops a new resource-based model for SIE especially for the SIE in the initial stages of the life cycle, to gain competitive advantages. Furthermore, the present study contributes to the existing literature in strategy at least in three senses as mentioned below: 1. further addition of SIE research based on the RBV and dynamic capabilities in the strategy literature 2. in developing the versatility concept, the study suggests a distinct sight regarding resource fungibility and it classifies resources into three categories as follows: multipliable, rentable and expendable resources to increases adequacy of the model. 3. Finally, the study introduces a new resource-based linear programming model for SIE resources allocation. To the best of author's knowledge, no such similar model is introduced by any previous studies for small firm. The greatest advancement of the developed resource-based linear programming model is its simplicity and versatility. [ABSTRACT FROM AUTHOR]

Across the typological and industry spectrum of organizations, multi-culturalism, market integration and rising new forms of consumer behaviour are incessantly and emphatically changing the critical factors of business success ([39]). However, extant literature on the organization-stakeholder relationships "does not provide much insight into organizational factors that lead organizations to attend to the different stakeholder or to implement stakeholder practices (cf. [8]). In line with this, and with reference to both the individual company and to companies operating along a sustainable supply chain, a central aspect that can condition the process to have a good result is represented by cultural differences between stakeholders and the level of trust among stakeholders ([57]). Authors propose an initial conceptual framework of knowledge management for TNE marketing is proposed, and develop practical insights from different TNE markets in support of this novel knowledge management capacity building framework of TNE. [Extracted from the article]

Purpose: Transnationalism and transnational concept are extensively researched in many social science areas; however, transnational management and transnational marketing is relatively a less explored research domain. Also, knowledge management for transnational education (TNE) marketing is not well-researched. Capacity building is an established research-stream, with a key focus on socio-economic and ecological development; however, prior research on capacity building from the context of TNE's knowledge management and marketing is scarce. The purpose of this study is to analyse TNE marketing mix, to understand the influence of transnational stakeholders' causal scope(s) on knowledge management in TNE to uphold their transnatioalisation processes through capacity building in TNEs' marketing management. Design/methodology/approach: An inductive constructivist method is followed. Findings: Organisational learning from the context of transnational market and socio-economic competitive factors, based on analysing the transnational stakeholders' causal scope(s) is imperative for proactive knowledge management capacity in TNE marketing. Following the analysis of transnational stakeholders' causal scope(s) to learn about the cause and consequence of the transnational stakeholders' relationships and interactions, an initial conceptual framework of knowledge management for TNE marketing is proposed. Practical insights from different TNE markets are developed in support of this novel knowledge management capacity building framework of TNE, and its generalisation perspectives and future research areas are discussed. Practical implications: These insights will be useful for TNE administrators to better align their knowledge management perspectives and propositions with their transnational stakeholders to underpin TNE marketing. Academics will be able to use these insights as a basis for future research. Originality/value: This study proposes a novel conceptual stakeholder-centred capacity building framework for TNE's knowledge management to uphold TNE marketing and supports the framework, based on practical insights from three different transnational markets. [ABSTRACT FROM AUTHOR]

Purpose: 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. Design/methodology/approach: 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. Findings: 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. Research limitations/implications: 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. Practical implications: 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. Originality/value: 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. [ABSTRACT FROM AUTHOR]

Purpose: 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. Design/methodology/approach: 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. Findings: 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. Practical implications: 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. Originality/value: 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. [ABSTRACT FROM AUTHOR]