The use of big data in corporate communication

2017 ◽  
Vol 22 (3) ◽  
pp. 258-272 ◽  
Author(s):  
Christian Wiencierz ◽  
Ulrike Röttger

Purpose The purpose of this paper is to illustrate the current state of research on the significance of big data in and for corporate communication and to introduce a framework which provides specific connecting points for future research. This is achieved by summarizing and reviewing the insights provided by relevant articles in the most significant scholarly journals. The paper also investigates trends in the literature. Design/methodology/approach On the basis of a systematic literature review, 53 key articles from 2010 to 2015 were further analyzed. Findings The literature review illustrates the potentialities of big data for corporate communication, especially with regard to the field of marketing communication. It also reveals a dramatic lack of research in the fields of public relations and internal communication with respect to big data applications. Research limitations/implications The online databases used in this paper comprised of refereed scientific journals with the highest impact factor in the respective disciplines. Journals with a lower impact factor and books were not included in the search process for this thematic analysis. Practical implications This paper provides a conceptual framework that describes four phases of strategic big data usage in corporate communication. The results show how big data is able to highlight stakeholders’ insights so that more effective communication strategies can be created. Originality/value This paper brings together previously disparate streams of work in the fields of communication science, marketing, and information systems with respect to big data applications in corporate communication. It represents the first attempt to undertake a systematic and comprehensive interdisciplinary overview of this kind.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajesh Kumar Singh ◽  
Saurabh Agrawal ◽  
Abhishek Sahu ◽  
Yigit Kazancoglu

PurposeThe proposed article is aimed at exploring the opportunities, challenges and possible outcomes of incorporating big data analytics (BDA) into health-care sector. The purpose of this study is to find the research gaps in the literature and to investigate the scope of incorporating new strategies in the health-care sector for increasing the efficiency of the system.Design/methodology/approachFora state-of-the-art literature review, a systematic literature review has been carried out to find out research gaps in the field of healthcare using big data (BD) applications. A detailed research methodology including material collection, descriptive analysis and categorization is utilized to carry out the literature review.FindingsBD analysis is rapidly being adopted in health-care sector for utilizing precious information available in terms of BD. However, it puts forth certain challenges that need to be focused upon. The article identifies and explains the challenges thoroughly.Research limitations/implicationsThe proposed study will provide useful guidance to the health-care sector professionals for managing health-care system. It will help academicians and physicians for evaluating, improving and benchmarking the health-care strategies through BDA in the health-care sector. One of the limitations of the study is that it is based on literature review and more in-depth studies may be carried out for the generalization of results.Originality/valueThere are certain effective tools available in the market today that are currently being used by both small and large businesses and corporations. One of them is BD, which may be very useful for health-care sector. A comprehensive literature review is carried out for research papers published between 1974 and 2021.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shahriar Akter ◽  
Md Afnan Hossain ◽  
Qiang (Steven) Lu ◽  
S.M. Riad Shams

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.


2018 ◽  
Vol 8 (5) ◽  
pp. 529-546
Author(s):  
Christofer Laurell ◽  
Sten Soderman

PurposeThe purpose of this paper is to provide a systematic review of articles on sport published in leading business studies journals within marketing, organisational studies and strategy.Design/methodology/approachBased on a review of 38 identified articles within the subfields of marketing, strategy and organisation studies published between 2000 and 2015, the articles’ topical, theoretical and methodological orientation within the studied subfields were analysed followed by a cross-subfield analysis.FindingsThe authors identify considerable differences in topical, theoretical and methodological orientation among the studied subfields’ associated articles. Overall, the authors also find that articles across all subfields tend to be focussed on contributing to mature theory, even though the subfield of marketing in particular exhibits contributions to nascent theory in contrast to organisation studies and strategy.Originality/valueThis paper contributes by illustrating the current state of research that is devoted or related to the phenomenon of sport within three subfields in business studies. Furthermore, the authors discuss the role played by leading business studies journalsvis-à-vissport sector-specific journals and offer avenues for future research.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gustavo Grander ◽  
Luciano Ferreira da Silva ◽  
Ernesto Del Rosário Santibañez Gonzalez

PurposeThis paper aims to analyze how decision support systems manage Big data to obtain value.Design/methodology/approachA systematic literature review was performed with screening and analysis of 72 articles published between 2012 and 2019.FindingsThe findings reveal that techniques of big data analytics, machine learning algorithms and technologies predominantly related to computer science and cloud computing are used on decision support systems. Another finding was that the main areas that these techniques and technologies are been applied are logistic, traffic, health, business and market. This article also allows authors to understand the relationship in which descriptive, predictive and prescriptive analyses are used according to an inverse relationship of complexity in data analysis and the need for human decision-making.Originality/valueAs it is an emerging theme, this study seeks to present an overview of the techniques and technologies that are being discussed in the literature to solve problems in their respective areas, as a form of theoretical contribution. The authors also understand that there is a practical contribution to the maturity of the discussion and with reflections even presented as suggestions for future research, such as the ethical discussion. This study’s descriptive classification can also serve as a guide for new researchers who seek to understand the research involving decision support systems and big data to gain value in our society.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marcello Mariani ◽  
Rodolfo Baggio

Purpose The purpose of this work is to survey the body of research revolving around big data (BD) and analytics in hospitality and tourism, by detecting macro topical areas, research streams and gaps and to develop an agenda for future research. Design/methodology/approach This research is based on a systematic literature review of academic papers indexed in the Scopus and Web of Science databases published up to 31 December 2020. The outputs were analyzed using bibliometric techniques, network analysis and topic modeling. Findings The number of scientific outputs in research with hospitality and tourism settings has been expanding over the period 2015–2020, with a substantial stability of the areas examined. The vast majority are published in academic journals where the main reference area is neither hospitality nor tourism. The body of research is rather fragmented and studies on relevant aspects, such as BD analytics capabilities, are virtually missing. Most of the outputs are empirical. Moreover, many of the articles collected relatively small quantities of records and, regardless of the time period considered, only a handful of articles mix a number of different techniques. Originality/value This work sheds new light on the emergence of a body of research at the intersection of hospitality and tourism management and data science. It enriches and complements extant literature reviews on BD and analytics, combining these two interconnected topics.


Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Juan Manuel Maqueira Marín ◽  
Diessica De Oliveira-Dias ◽  
Nima Jafari Navimipour ◽  
Bhaskar Gardas ◽  
Mehmet Unal

PurposeThis study aims to provide an overview of what characterizes the current state of research in the field of cloud computing use in human resource management (HRM) with the identification, analysis and classification of the existing literature and lines of research addressed and to provide guidance for future research.Design/methodology/approachThe systematic literature review (SLR) technique has been used to identify, select, analyze and evaluate the existing publications on cloud computing and HRM. A total of 35 papers published up to December 2020 have been obtained from the Web of Science (WoS) scientific database. The research design has allowed us to determine what characterizes the current state of research on the use of cloud computing in HRM and obtain a novel classification of the literature that identifies four lines of research and the contributions in each line and has allowed us to define the future research agenda.FindingsThe four groups into which the papers on the cloud computing-HRM relationship have been classified are: (1) studies focused on the development of cloud platforms for HRM that highlight technical aspects, (2) papers that focus on the concept of human resource elasticity, (3) papers on the adoption and/or implantation of cloud platforms for HRM and (4) studies that highlight the effects or implications of cloud platforms for HRM. This paper proposes some new opportunities for future research and presents some helpful implications from the theoretical and management perspectives.Research limitations/implicationsThis study uses only scientific articles in the WoS database with a Journal Citation Report (JCR) or SCImago Journal Rank (SJR) impact.Originality/valueThis paper provides an overview of the knowledge on cloud computing and HRM research and offers recommendations for future research.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joshua Rumo Arongo ◽  
Judy Backhouse

Purpose The purpose of this study is to examine the state of research into knowledge management within local government in developing countries, to identify themes that have been studied and to identify important gaps in the literature that can inform a research agenda going forward. Design/methodology/approach A structured literature review method was used in this study. The authors reviewed academic literature published between 2009 and 2019. A total of 15 articles were identified and reviewed. Findings The findings reveal that, few authors have contributed to knowledge management within local government in developing countries and there is little international collaboration between authors. The authors found limited methodological and theoretical diversity and rigor in the reviewed work. The review identified themes that have been researched but evidenced a lack of guidelines and frameworks developed to promote knowledge management initiatives within local governments in developing countries. Overall, it was evident that this area was still little explored. As a result, there are many possibilities for future research. Originality/value This study provides a comprehensive systematic literature review of papers published on knowledge management in local governments in developing countries, identifying themes that have been studied and gaps for further research.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sarah Pfoser ◽  
Herbert Kotzab ◽  
Ilja Bäumler

PurposeThe aim of this paper is to offer an overview of the current state of research in a specific field of transport, namely synchromodality. This includes a conceptual discussion of this innovative transport concept to differentiate it from previous concepts as well as the identification of the antecedents, mechanisms and effects of synchromodality.Design/methodology/approachThe paper combines systematic and content analysis-based approaches to literature review to analyse and synthesise a final sample of 88 publications related to synchromodality.FindingsSynchromodality is a transport concept in its infancy which suffers from ambiguous definitions and a lack of theoretical grounding. The paper identifies four mechanisms which differentiate synchromodality from other transport concepts: real-time switching, integrated network planning, horizontal collaboration and mode-free booking. Seven technical and six managerial antecedents for these mechanisms of synchromodality are defined.Research limitations/implicationsExisting research on synchromodality is largely focused on technical antecedents (e.g. information and communication technology, sophisticated planning systems). Suggestions for further research include managerial problems such as business models or measures to induce a mental shift and trust.Originality/valueThis paper gives a structured overview of the research field of synchromodality and presents existing research from a content-focused perspective. It also indicates opportunities for future research and contributes to a generally accepted understanding of synchromodality.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Blerita Korca ◽  
Ericka Costa

PurposeThis paper discusses the current state of research into Directive 2014/95/EU and non-financial disclosure (NFD), with the aim of offering a future research agenda.Design/methodology/approachThe authors have conducted a systematic literature review of 78 studies spanning seven years (2014–2020) that address Directive 2014/95/EU.FindingsThe literature review revealed four main avenues for future research. First, future studies could focus on addressing issues related to the EU Directive's potential impacts, both in terms of NFD and companies' financial performance. Second, because context plays an important role in defining the regulation's impact, future research should consider these contextual factors in NFD. Third, further research should investigate the interplay between the binding requirements of the Directive and the non-binding guidelines suggested to implement it. Finally, future research would do well to employ additional theoretical approaches in order to interpret the Directive's diverse effects for various countries, organisations and timelines.Research limitations/implicationsThis research agenda is intended to help scholars in this field to understand what has yet to be known in order to develop a complete understanding of the EU Directive on non-financial information disclosure.Practical implicationsFocussing on the Directive's implementation across countries and organisations with a longitudinal approach, this paper could indicate whether or not mandatory reporting enhances non-financial information disclosure and consequently, organisational actions. This work could inform both companies' and policymakers' approach to disclosure, whether mandatory or otherwise.Originality/valueTo date, many studies have focussed on specific issues regarding the EU Directive. This paper, however, presents the first systematic literature review considering the current state of research into the EU Directive, thus drawing a future research agenda.


2019 ◽  
Vol 24 (3) ◽  
pp. 553-568
Author(s):  
Yeunjae Lee ◽  
Katie Haejung Kim ◽  
Jeong-Nam Kim

Purpose The purpose of this paper is to examine the impact of different types of corporate issues and employee–organization relationships (EORs) on employees’ perceptions of the issues and on their communicative actions. Specifically, this study investigates how employees who have experienced an internal or an external issue within their organizations differently perceive the organizational issue and engage in positive and/or negative communicative behaviors. Design/methodology/approach An online survey was conducted with 363 full-time employees in large-sized companies in the USA who have experienced any internal or external issues within the past six months. Findings Employees are more cognitively aware of and feel more involved and less constrained in solving an internal company issue than an external one. Experiencing internal issues has led employees to share negative information about their organization externally. The quality of EORs pre-issue significantly increases employees’ involvement and positive communication behavior and decreases constraint levels and negative communication behaviors regarding an issue. Practical implications Corporate communication and public relations practitioners should incorporate strategic internal communication strategies to preemptively manage internal issues and to avoid them from evolving into internal crises. Originality/value This study is among the first to distinguish internal and external issues perceived by internal stakeholders and to examine their impacts on employees’ issue-specific perceptions and communicative behaviors. This study also provides significant practical guidelines for corporate communication practitioners and leaders by explicating the strategic role of issue type and employee behaviors in issue management.


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