•The study focuses on the dynamic impact of information globalisation de facto and de jure on institutional quality in ASEAN member countries.•Public institutions respond positively towards ...information globalisation.•Human Capital, economic growth and fiscal expenditure are significant factors in defining the public institution
We investigate the dynamic impact of information globalisation de facto and de jure as a proxy of the information digitalisation on institutional quality or agility, incorporating the role of human capital, economic growth, and fiscal expenditure. Given the considerable heterogeneity, cross-sectional dependency, mixed order of integration and potential endogeneity in our data, we analyse panel data by utilising Cross-Sectional ARDL and Dynamic Common Correlation Effect under Generalised Methods of Moments (DCCE-GMM) for eight ASEAN member countries. Our empirical investigation demonstrates that public institutions respond positively towards information globalisation (both de facto and de jure), validating our proposition on local institutional agility. Human capital, economic growth and fiscal expenditure are significant factors in defining the public institution. Our findings are robust considering the potential reverse causality between institutional quality and information globalisation de facto and de jure. We provide several policy implications.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
PurposeThe paper introduces a resource-based linear programming model for resource optimization in small innovative enterprises (SIE).Design/methodology/approachThe 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.FindingsThe 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/implicationsThe 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/valueOne 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.
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.
PurposeBig 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/approachThe 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.FindingsThe 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/implicationsThe 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/valueThe 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.
PurposeThis 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/approachThe research is based on a literature review methodology involving different streams of research.FindingsDiverse 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/valueThe paper presents future research opportunities concerning the wide spectrum of stakeholder relationship management.
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.
Over the past 30 plus years, the development of technological innovation through cross-border mergers and acquisitions (M&As) has captured an increasing amount of attention in business research and ...practice. The emerging literature on the topic addresses a significant phenomenon, however, it lacks theoretical underpinning and a cumulative empirical inquiry, from a micro-foundational perspective. Hence, a systematic and integrative research effort seems justified. Accordingly, we systematically review and analyze 30 articles published in 16 top-tier peer-reviewed journals from 1985 to 2018. We provide the first comprehensive systematic review of extant literature, include a critical analysis of these research efforts, identify several methodological, contextual and theoretical issues and problems that need to be addressed and offer avenues for future research. The paper concludes with an integrative framework that provides the basis for both theory and practice to further build on and be guided by.
•A literature review on the link between technological innovation and cross-border mergers and acquisitions•Systematic methodology adopted covering the period 1985 to 2018•Provided a descriptive and thematic analysis of the findings•Synthesized the literature findings according to a theme-based logic•Developed an integrative framework of extant literature
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
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.
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.
Emerging country firms have been increasingly engaging in cross-border mergers and acquisitions, and these acquirers predominantly acquire firms from developed countries. The motivation for such ...acquisitions is to achieve market access but also to benefit from transfers of cross-border managerial skills and knowledge. The performance of such acquisitions has started to receive some research attention, particularly financial performance, but the transfers to other areas such as marketing have not yet been explored. This article addresses this gap by studying the experience of 34 acquirers from emerging countries which acquired firms in developed countries. This study uses two-stage window data envelopment analysis (DEA) and Tobit regression to investigate the impact of these acquisitions on the marketing capability and overall firm performance of the acquiring firms. The results show that the marketing capability of the acquiring firms did improve in the post-merger years and this improvement can be partly attributed to the acquisition. The findings also show that the overall performance of the acquiring firms improved following acquisition, but this is a continuation of superior performance from the pre-merger years rather than a synergistic gain from the acquisitions.
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NUK, OILJ, SAZU, UKNU, UL, UM, UPUK
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