How big data alters value creation: through the lens of big data competency

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaobo Wu ◽  
Liping Liang ◽  
Siyuan Chen

PurposeAs various different and even contradictory concepts are proposed to depict a firm's capabilities related to big data, and extant relevant research is fragmented and scattered in several disciplines, there is currently a lack of holistic and comprehensive understanding of how big data alters value creation by facilitating firm capabilities. To narrow this gap, this study aims to synthesize current knowledge on the firm capabilities and transformation of value creation facilitated by big data.Design/methodology/approachThe authors adopt an inductive and rigorous approach to conduct a systematic review of 185 works, following the “Grounded Theory Literature-Review Method”.FindingsThe authors introduce and develop the concept of big data competency, present an inductive framework to open the black box of big data competency following the logic of virtual value chain, provide a structure of big data competency that consists of two dimensions, namely, big data capitalization and big data exploitation, and further explain the evolution of value creation structure from value chain to value network by connecting the attributes of big data competency (i.e. connectivity and complementarity) with the transformation of value creation (i.e. optimizing and pioneering).Originality/valueThe big data competency, an inclusive concept of firm capabilities to deal with big data, is proposed. Based on this concept, the authors highlight the significant contributions that extant research has made toward our understanding of how big data alters value creation by facilitating firm capabilities. Besides, the authors provide a future research agenda that academics can rely on to study the strategic management of big data.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pasquale Del Vecchio ◽  
Gioconda Mele ◽  
Evangelia Siachou ◽  
Gloria Schito

PurposeThis paper aims to advance the international marketing debate by presenting the results of a structured literature review (SLR) focusing on Big Data implementation in customer relationship management (CRM) strategizing. It outlines past and present literature and frames a future research agenda.Design/methodology/approachThe research analyzes papers published in journals from 2013 to 2020, deriving significant insights about Big Data applications in CRM. A sample of 48 articles indexed at Scopus was preliminarily submitted for bibliometric analysis. Finally, 46 papers were analyzed with content and a bibliometric analysis to identify areas of thematic specializations.FindingsThe paper presents a conceptual multilevel framework demonstrating areas of specialization emerging from the literature. The framework is built around four coordinated sequences of actions relevant to “why,” “what,” “who” and “how” Big Data is implemented in CRM strategies, thus supporting the conception and implementation of an internationalization marketing strategy.Research limitations/implicationsImplications for the development of the future research agenda on international marketing arise from the comprehension of Big Data in CRM strategy.Originality/valueThe paper provides a comprehensive SLR of the articles dealing with models and processes of Big Data for CRM from an international marketing perspective. Despite these issues' relevance and the increasing literature focused on them, research in this area is still fragmented and underexplored, requiring more systematic and holistic studies.


2009 ◽  
Vol 43 (3/4) ◽  
pp. 320-349 ◽  
Author(s):  
Thorsten Staake ◽  
Frédéric Thiesse ◽  
Elgar Fleisch

PurposeTrade in counterfeit goods is perceived as a substantial threat to various industries. No longer is the emergence of imitation products confined to branded luxury goods and final markets. Counterfeit articles are increasingly finding their way into other sectors, including the fast‐moving consumer goods, pharmaceutical, and automotive industries – with, in part, severe negative consequences for consumers, licit manufacturers, and brand owners alike. This paper seeks to shed light on the economic principles of counterfeit trade and the underlying illicit supply chains.Design/methodology/approachAn extensive literature review was conducted that comprised contributions from different strands of management research.FindingsThough governments as well as management have clearly identified the problem, very little is known – both in practice and theory – about the mechanisms and structure of the illicit market, the tactics of counterfeit producers, consumer behavior with respect to imitation products and the financial impact on individual companies. The diversity of the counterfeit phenomenon underlines the need for further research in this area and the development of company‐specific measures for fighting product piracy.Research limitations/implicationsThe clandestine nature of the counterfeit market limits direct accessibility to the phenomenon. Consequently, the existing body of literature does not necessarily cover all aspects of counterfeit activities. The review helps to highlight existing research gaps but may not be able to identify additional aspects of the phenomenon that, thus far, have not been deemed relevant.Originality/valueThe paper critically reviews the current state of research across different management‐related disciplines. From an academic perspective it may serve as a starting point for a future research agenda that addresses the current knowledge gaps. From a practitioner's perspective it is helpful for understanding the relevant influence factors and for developing appropriate, state‐of‐the‐art counterstrategies.


2018 ◽  
Vol 26 (3) ◽  
pp. 420-442 ◽  
Author(s):  
Lorna Uden ◽  
Pasquale Del Vecchio

PurposeThis paper aims to define a conceptual framework for transforming Big Data into organizational value by focussing on the perspectives of service science and activity theory. In coherence with the agenda on evolutionary research on intellectual capital (IC), the study also provides momentum for researchers and scholars to explore emerging trends and implications of Big Data for IC management.Design/methodology/approachThe paper adopts a qualitative and integrated research method based on a constructive review of existing literature related to IC management, Big Data, service science and activity theory to identify features and processes of a conceptual framework emerging at the intersection of previously identified research topics.FindingsThe proposed framework harnesses the power of Big Data, collectively created by the engagement of multiple stakeholders based on the concepts of service ecosystems, by using activity theory. The transformation of Big Data for IC management addresses the process of value creation based on a set of critical dimensions useful to identify goals, main actors and stakeholders, processes and motivations.Research limitations/implicationsThe paper indicates how organizational values can be created from Big Data through the co-creation of value in service ecosystems. Activity theory is used as theoretical lens to support IC ecosystem development. This research is exploratory; the framework offers opportunities for refinement and can be used to spearhead directions for future research.Practical implicationsThe paper proposes a framework for transforming Big Data into organizational values for IC management in the context of entrepreneurial universities as pivotal contexts of observation that can be replicated in different fields. The framework provides guidelines that can be used to help organizations intending to embark on the emerging paradigm of Big Data for IC management for their competitive advantages.Originality/valueThe paper’s originality is in bringing together research from Big Data, value co-creation from service ecosystems and activity theory to address the complex issues involved in IC management. A further element of originality offered involves integrating such multidisciplinary perspectives as a lens for shaping the complex process of value creation from Big Data in relationship to IC management. The concept of how IC ecosystems can be designed is also introduced.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Priya Shah ◽  
Amandeep Dhir ◽  
Rohit Joshi ◽  
Naliniprava Tripathy

PurposeMajor cereal staples such as wheat, white rice and corn have a significant negative impact on the environment, a low nutritional profile and are associated with obesity. In comparison, alternative staples (such as rye, quinoa, buckwheat, etc.) are more environmentally sustainable and nutritious, yet are underused. There has been a recent surge in research into and awareness of alternative staples, but the current understanding of the different drivers of and barriers to their consumption remains fragmented.Design/methodology/approachThe present study attempts to assimilate and incorporate the current knowledge on the drivers of and barriers to the consumption of alternative staples. Eighty-one empirical studies were curated and analysed according to stringent protocols in order to examine the existing research profile and themes arising from prior research in this domain.FindingsThe study presents a profile of the extensive existing literature examining the drivers of and barriers to the consumption of alternative staples. The thematic analysis of selected studies resulted in the identification of six drivers and seven barriers. The drivers are an awareness of health; awareness of environmental factors; recommendations; awareness of the brand, labels and source of origin; household structure and demographic attributes. The barriers are difficulty in preparation, lack of familiarity, lack of availability, lack of affordability, culture, product attributes and sensory attributes. The various research gaps and avenues for future research associated with the drivers and barriers identified are also presented.Originality/valueThe key outcomes of the study are the presentation of the research profile, the identification of various drivers and barriers, the recognition of gaps in the research and avenues for future research and, finally, the development of a theoretical framework entitled “Behavioral reasoning towards the consumption of alternative staples (BRCAS)”. The study offers various insights for nutritionists, marketers, policymakers and consumers by increasing awareness of alternative staples.


2020 ◽  
Vol 34 (3) ◽  
pp. 347-361 ◽  
Author(s):  
Nadia Zainuddin ◽  
Ross Gordon

Purpose This paper aims to provide a review of the extant literature on value creation and destruction in social marketing services for social change, for the purposes of developing a research agenda for future research in this area. Creating value in social marketing services is now identified as a key focus for social marketing (Russell-Bennett et al., 2009; Domegan et al., 2013), yet work in this area is nascent and conceptual, methodological, and empirical work is needed to advance the research agenda (Zainuddin et al., 2013; 2016). Design/methodology/approach To help shape the future of research on value in social marketing services, this paper appraises the contributions of the current research literature, and identifies gaps in the current knowledge. A systematic literature review was conducted, following the PRISMA protocol for conducting and reporting systematic reviews (Moher et al., 2009). The review covers the areas of value creation in social marketing, value destruction in social marketing, dimensions of value in social marketing, and from value-in-exchange, to value-in-use, to value-in-behaviour in social change. Findings A research agenda for further work in this area is provided within the themes of 1. conceptual development, 2. broadening ontological, epistemological, and methodological foundations, 3. research contexts, and 4. measuring and evaluating value in social marketing services. Within each of these themes, a series of research questions are provided to guide further work in the four identified themes. Originality/value This paper is the first to offer a review of the extant literature on value creation and destruction in social marketing and social marketing services, and offer a research agenda for future work in this area. This paper contributes to services marketing and the development of service thinking as key component of social marketing, and the role that value creation plays in this (Russell-Bennett et al., 2013).


2019 ◽  
Vol 24 (3) ◽  
pp. 397-404 ◽  
Author(s):  
Christos Braziotis ◽  
Helen Rogers ◽  
Ajeseun Jimo

Purpose The emergence and application of 3D Printing (3DP) is changing the way products are developed and reach the customer, allowing for unprecedented customisation options. Past research has focussed on the modus operandi of the technology, providing indications for wider future adoption. 3DP is predicted to complement current production processes and is anticipated to have a profound effect on the value chain and, therefore, on supply chain (SC) management. Management-related 3DP research has, however, been largely fragmented in terms of analysing the strategic deployment of 3DP and the corresponding effects on performance objectives. The aim of this paper is to identify, define and exemplify typical 3DP deployment strategies pursued. Design/methodology/approach The approach taken is a critical literature review, synthesising and interpreting past research on cross-industry deployment of 3DP, including illustrative examples. This enabled the development of a framework of current stage knowledge. Findings Building on past research, the authors propose a conceptual framework to be used as a classification system for 3DP operations, based on process and SC level configurations across different industries. They discuss the potential impact on operations performance objectives and then highlight research gaps, proposing specific research avenues to enhance understanding of the effects of 3DP adoption on SCs. Practical implications The proposed framework outlines strategic guidelines for 3DP and provides practitioners with the range of strategic options available for 3DP deployment and anticipated impacts on performance. Originality/value The framework can be used to map 3DP deployment at an operational level and identify the likely impact on performance objectives. Relevant implications and a future research agenda are explored.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheng Huang ◽  
Yunxia Zhu ◽  
Kun Zhang ◽  
Zhenkuo Ding

PurposeThe purpose of this paper is to critically review and synthesize the articles on determinants of international new venture (INV) performance to identify the research gaps in this area and develop a future research agenda.Design/methodology/approachAdopting a semi-systematic review approach with a fucus on using a vote-counting technique, this paper reviews 99 journal articles published between 1994 and 2019 to assess the determinants of INV performance.FindingsThe results indicate that the majority of the INV performance articles employ a clearly specified theoretical foundation, focus on INVs in developed economies and non-service sectors, identify numerous firm-level determinants of INV performance and use advanced statistical methods (e.g. structural equation modeling and panel data models). However, the research of INV performance is still limited by a lack of a broader integration of theories at different levels, inconsistent theoretical predictions and empirical results, knowledge gaps, and estimation biases (e.g. endogeneity).Originality/valueINV performance has received increasing attention over recent decades, but this area is still characterized by fragmentation and inconsistency. This paper provides a comprehensive and nuanced review that synthesizes and clarifies our current knowledge on the determinants of INV performance, provides further discussion with deeper insights from both theoretical and methodological aspects, and points out some directions for future research.


2017 ◽  
Vol 21 (3) ◽  
pp. 623-639 ◽  
Author(s):  
Tingting Zhang ◽  
William Yu Chung Wang ◽  
David J. Pauleen

Purpose This paper aims to investigate the value of big data investments by examining the market reaction to company announcements of big data investments and tests the effect for firms that are either knowledge intensive or not. Design/methodology/approach This study is based on an event study using data from two stock markets in China. Findings The stock market sees an overall index increase in stock prices when announcements of big data investments are revealed by grouping all the listed firms included in the sample. Increased stock prices are also the case for non-knowledge intensive firms. However, the stock market does not seem to react to big data investment announcements by testing the knowledge intensive firms along. Research limitations/implications This study contributes to the literature on assessing the economic value of big data investments from the perspective of big data information value chain by taking an unexpected change in stock price as the measure of the financial performance of the investment and by comparing market reactions between knowledge intensive firms and non-knowledge intensive firms. Findings of this study can be used to refine practitioners’ understanding of the economic value of big data investments to different firms and provide guidance to their future investments in knowledge management to maximize the benefits along the big data information value chain. However, findings of study should be interpreted carefully when applying them to companies that are not publicly traded on the stock market or listed on other financial markets. Originality/value Based on the concept of big data information value chain, this study advances research on the economic value of big data investments. Taking the perspective of stock market investors, this study investigates how the stock market reacts to big data investments by comparing the reactions to knowledge-intensive firms and non-knowledge-intensive firms. The results may be particularly interesting to those publicly traded companies that have not previously invested in knowledge management systems. The findings imply that stock investors tend to believe that big data investment could possibly increase the future returns for non-knowledge-intensive firms.


2021 ◽  
pp. 875697282199534
Author(s):  
Natalya Sergeeva ◽  
Graham M. Winch

This article develops a framework for applying organizational narrative theory to understand project narratives that potentially perform and change the future. Project narratives are temporal but often get repeated throughout the project life cycle to stabilize meaning, and could be about project mission, vision, identity, value creation, and so forth. Project narratives have important implications for organizational identity and image crafting. This article differentiates among different types of project narratives in relation to a project life cycle, providing case studies of project narratives on three major UK rail projects. We then set out the future research agenda into project narrative work.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sourabh Kumar ◽  
Sankersan Sarkar ◽  
Bhawna Chahar

Purpose The growing demands of work and life have shifted the concept of work-life balance to work-life integration (WLI). The success of integration depends upon the flexibility to perform the duties. This paper aims to explore the factors that affect WLI and the role of flexible work arrangements (FWAs) in the process of WLI. Design/methodology/approach Systematic literature review was used to explore the concept of WLI and FWAs. A bibliometric analysis was carried out with Bibexcel and VoSviewer. Findings This paper explained the organizational and personal factors that create the demand for WLI. The FWAs, perceived flexibility, technology and self-efficacy have important roles in WLI. The result of WLI can be enrichment or strain, depends upon how effectively the work-life domains are integrated. Originality/value This paper explores the work-life from both personal and organizational views. The findings of this paper will be useful to design the organizational policies and work arrangements that match the requirements of employees and organizations. This paper helps to develop the future research agenda of investigating the relations of WLI to performance, organizational policies and personal factors.


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