Research challenges for the use of big data in policy-making

2020 ◽  
Vol 14 (4) ◽  
pp. 593-604
Author(s):  
Francesco Mureddu ◽  
Juliane Schmeling ◽  
Eleni Kanellou
Keyword(s):  
Big Data ◽  
Information And Communication Technologies ◽  
Policy Making ◽  
Quantitative Research ◽  
Future Research ◽  
The European Union ◽  
Public Governance ◽  
Content Type ◽  
Research Challenges ◽  
Data Informed

Purpose This paper aims to present pertinent research challenges in the field of (big) data-informed policy-making based on the research, undertaken within the course of the European Union-funded project Big Policy Canvas. Technological advancements, especially in the past decade, have revolutionised the way that both every day and complex activities are conducted. It is, thus, expected that a particularly important actor such as the public sector, should constitute a successful disruption paradigm through the adoption of novel approaches and state-of-the-art information and communication technologies. Design The research challenges stem from a need, trend and asset assessment based on qualitative and quantitative research, as well as from the identification of gaps and external framework factors that hinder the rapid and effective uptake of data-driven policy-making approaches. Findings The current paper presents a set of research challenges categorised in six main clusters, namely, public governance framework, privacy, transparency, trust, data acquisition, cleaning and representativeness, data clustering, integration and fusion, modelling and analysis with big data and data visualisation. Originality/value The paper provides a holistic overview of the interdisciplinary research challenges in the field of data-informed policy-making at a glance and shall serve as a foundation for the discussion of future research directions in a broader scientific community. It, furthermore, underlines the necessity to overcome isolated scientific views and treatments because of a high complex multi-layered environment.

Opportunities for academic smart libraries in the Caribbean

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adrian St. Patrick Duncan
Keyword(s):  
Information And Communication Technologies ◽  
Academic Libraries ◽  
Information Access ◽  
The Body ◽  
Caribbean Region ◽  
Future Research ◽  
Technological Advancement ◽  
Content Type ◽  
Services Delivery ◽  
The Caribbean

Purpose The purpose of this paper hinged on the concept of smart libraries and their development for the furtherance of information access, dissemination and information resources and services delivery in Caribbean libraries. Design/methodology/approach To conduct this research, the literature of smart libraries and technologically driven and their application in libraries were reviewed by examining existing literature on information and communication technologies and technology in libraries. Findings The literature highlighted that this technological advancement is not yet fully on stream in academic libraries of the Caribbean owing to the lack of financial, technological and organizational resources. It further outlined that certain aspects of library automation are fostered through the inclusion of technology. Research limitations/implications The limitation of this study is that only academic libraries of the Caribbean region were assessed. Other regions should be explored in future research. Originality/value The concept of smart libraries is an emerging issue with limited scope for scrutiny; a systematic and extensive review of recent research on smart in libraries is unavailable. This paper presents an overview of smart libraries or technologically driven libraries, its findings for potential research opportunities and development for academic libraries. In addition, it will build on the body of knowledge that is presently non-existent on smart libraries in the Caribbean.

Big data analysis of trends in the second-hand apparel market: a comparison between 2014 and 2019

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sanghee Kim ◽  
Hongjoo Woo
Keyword(s):  
Big Data ◽  
Design Methodology ◽  
Semantic Network ◽  
Distribution Channels ◽  
Subject Area ◽  
Future Research ◽  
Semantic Network Analysis ◽  
Content Type ◽  
The Past ◽  
Network Patterns

Purpose According to the perspective of evolutionary economic theory, the marketplace continuously evolves over time, following the changing needs of both customers and firms. In accordance with the theory, the second-hand apparel market has been rapidly expanding by meeting consumers’ diverse preferences and promoting sustainability since 2014. To understand what changes in consumers’ consumption behaviors regarding used apparel have driven this growth, the purpose of this study is to examine how the second-hand apparel market product types, distribution channels and consumers’ motives have changed over the past five years. Design/methodology/approach This study collected big data from Google through Textom software by extracting all Web-exposed text in 2014, and again in 2019, that contained the keyword “second-hand apparel,” and used the Node XL program to visualize the network patterns of these words through the semantic network analysis. Findings The results indicate that the second-hand apparel market has evolved with various changes over the past five years in terms of consumer motives, product types and distribution channels. Originality/value This study provides a comprehensive understanding of the changing demands of consumers toward used apparel over the past five years, providing insights for retailers as well as future research in this subject area.

Strategic issues of big data analytics applications for managing health-care sector: a systematic literature review and future research agenda

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajesh Kumar Singh ◽  
Saurabh Agrawal ◽  
Abhishek Sahu ◽  
Yigit Kazancoglu
Keyword(s):  
Health Care ◽  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Health Care Sector ◽  
Future Research ◽  
Research Gaps ◽  
Content Type

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.

Bibliometric analysis and critical review of the research on big data in the construction industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yusheng Lu ◽  
Jiantong Zhang
Keyword(s):  
Big Data ◽  
Construction Industry ◽  
Bibliometric Analysis ◽  
Critical Review ◽  
Rapid Development ◽  
Heterogeneous Data ◽  
The Body ◽  
Future Research ◽  
Temporal And Spatial Distribution ◽  
Content Type

PurposeThe digital revolution and the use of big data (BD) in particular has important applications in the construction industry. In construction, massive amounts of heterogeneous data need to be analyzed to improve onsite efficiency. This article presents a systematic review and identifies future research directions, presenting valuable conclusions derived from rigorous bibliometric tools. The results of this study may provide guidelines for construction engineering and global policymaking to change the current low-efficiency of construction sites.Design/methodology/approachThis study identifies research trends from 1,253 peer-reviewed papers, using general statistics, keyword co-occurrence analysis, critical review, and qualitative-bibliometric techniques in two rounds of search.FindingsThe number of studies in this area rapidly increased from 2012 to 2020. A significant number of publications originated in the UK, China, the US, and Australia, and the smallest number from one of these countries is more than twice the largest number in the remaining countries. Keyword co-occurrence is divided into three clusters: BD application scenarios, emerging technology in BD, and BD management. Currently developing approaches in BD analytics include machine learning, data mining, and heuristic-optimization algorithms such as graph convolutional, recurrent neural networks and natural language processes (NLP). Studies have focused on safety management, energy reduction, and cost prediction. Blockchain integrated with BD is a promising means of managing construction contracts.Research limitations/implicationsThe study of BD is in a stage of rapid development, and this bibliometric analysis is only a part of the necessary practical analysis.Practical implicationsNational policies, temporal and spatial distribution, BD flow are interpreted, and the results of this may provide guidelines for policymakers. Overall, this work may develop the body of knowledge, producing a reference point and identifying future development.Originality/valueTo our knowledge, this is the first bibliometric review of BD in the construction industry. This study can also benefit construction practitioners by providing them a focused perspective of BD for emerging practices in the construction industry.

Big data-driven strategic orientation in international marketing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shahriar Akter ◽  
Md Afnan Hossain ◽  
Qiang (Steven) Lu ◽  
S.M. Riad Shams
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
International Marketing ◽  
Strategic Orientation ◽  
Data Driven ◽  
Future Research ◽  
Content Type ◽  
Strategic Orientations ◽  
Marketing Activities

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.

An experimental investigation of the impact of using big data analytics on customers’ performance measurement

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marwa Rabe Mohamed Elkmash ◽  
Magdy Gamal Abdel-Kader ◽  
Bassant Badr El Din
Keyword(s):  
Big Data ◽  
Performance Measurement ◽  
Data Analytics ◽  
Positive Impact ◽  
Big Data Analytics ◽  
Unstructured Data ◽  
Future Research ◽  
Web Based ◽  
Content Type ◽  
The Impact

Purpose This study aims to investigate and explore the impact of big data analytics (BDA) as a mechanism that could develop the ability to measure customers’ performance. To accomplish the research aim, the theoretical discussion was developed through the combination of the diffusion of innovation theory with the technology acceptance model (TAM) that is less developed for the research field of this study. Design/methodology/approach Empirical data was obtained using Web-based quasi-experiments with 104 Egyptian accounting professionals. Further, the Wilcoxon signed-rank test and the chi-square goodness-of-fit test were used to analyze data. Findings The empirical results indicate that measuring customers’ performance based on BDA increase the organizations’ ability to analyze the customers’ unstructured data, decrease the cost of customers’ unstructured data analysis, increase the ability to handle the customers’ problems quickly, minimize the time spent to analyze the customers’ data and obtaining the customers’ performance reports and control managers’ bias when they measure customer satisfaction. The study findings supported the accounting professionals’ acceptance of BDA through the TAM elements: the intention to use (R), perceived usefulness (U) and the perceived ease of use (E). Research limitations/implications This study has several limitations that could be addressed in future research. First, this study focuses on customers’ performance measurement (CPM) only and ignores other performance measurements such as employees’ performance measurement and financial performance measurement. Future research can examine these areas. Second, this study conducts a Web-based experiment with Master of Business Administration students as a study’s participants, researchers could conduct a laboratory experiment and report if there are differences. Third, owing to the novelty of the topic, there was a lack of theoretical evidence in developing the study’s hypotheses. Practical implications This study succeeds to provide the much-needed empirical evidence for BDA positive impact in improving CPM efficiency through the proposed framework (i.e. CPM and BDA framework). Furthermore, this study contributes to the improvement of the performance measurement process, thus, the decision-making process with meaningful and proper insights through the capability of collecting and analyzing the customers’ unstructured data. On a practical level, the company could eventually use this study’s results and the new insights to make better decisions and develop its policies. Originality/value This study holds significance as it provides the much-needed empirical evidence for BDA positive impact in improving CPM efficiency. The study findings will contribute to the enhancement of the performance measurement process through the ability of gathering and analyzing the customers’ unstructured data.

Understanding the gendered nature of developing country MSMEs’ access, adoption and use of information and communication technologies for development (ICT4D)

2020 ◽  
Vol 12 (3) ◽  
pp. 273-295
Author(s):  
Elisa Mohanty ◽  
Anindya Jayanta Mishra
Keyword(s):  
Information And Communication Technologies ◽  
Small And Medium Enterprises ◽  
Communication Technologies ◽  
Dark Side ◽  
Future Research ◽  
Power Dynamics ◽  
Content Type ◽  
Time Period ◽  
Information And Communication ◽  
Medium Enterprises

Purpose The widespread use of information and communication technologies (ICTs) has had a significant effect on various groups and communities of people including micro, small and medium enterprises (MSMEs) and their owners/managers. The current study aims to analyze recent literature regarding adoption of ICTs by MSMEs. Further, it tries to locate gender within this broader context of diffusion of ICTs among MSMEs. Design/methodology/approach Using the thematic analysis approach, the research articles pertaining to six leading journals on ICTs, gender and entrepreneurship published during the time period from 2011 to 2019 are reviewed. Findings The literature selected for the study has been discussed under two primary categories, viz. “adoption of information and communication technologies for development (ICT4D) for business purposes” and “insights on gender in ICT4D use by MSMEs.” Research limitations/implications The context-dependent nature of ICT use can enable future entrepreneurs to assess the scope of specific ICTs in given areas of operation. The gendered nature of ICTs helps to evaluate as well as question the empowerment potential of ICTs. The study emphasizes the need to account for historical specificities and transnational linkages in understanding access, adoption and use of ICT4D by women MSME entrepreneurs. Originality/value The study bridges together literature on ICT4D use by MSMEs and the role of gender in ICT-mediated entrepreneurial environments. While unraveling the interplay of power dynamics in such environments, the scope for future research in terms of tapping into the content of information exchanges and exploring the implications of “dark side of internet” for women MSME entrepreneurs is also indicated.

Logistics practices in healthcare organizations in Bogota

2018 ◽  
Vol 31 (3) ◽  
pp. 519-533 ◽  
Author(s):  
Nubia Velasco ◽  
Juan-Pablo Moreno ◽  
Claudia Rebolledo
Keyword(s):  
Information And Communication Technologies ◽  
Inventory Management ◽  
Case Study Research ◽  
Communication Technologies ◽  
Public Hospitals ◽  
Future Research ◽  
Healthcare Organizations ◽  
Content Type ◽  
Information And Communication ◽  
Cross Case Analysis

Purpose The purpose of this paper is to explore the current state of logistics practices in healthcare organizations in Bogota, Colombia. Design/methodology/approach The assessment is based on case study research using open interviews, focused interviews, a questionnaire and direct observations as sources of evidence. Seven Colombian health care settings are analyzed: four public hospitals and three private clinics. Cross-case analysis allows the identification of patterns regarding supply management, inventory management, replenishment and use of information and communication technologies. Findings Manual procedures, poor planning, little recognition from top management and a lack of specialized personnel characterize the current situation. Innovative practices with a potential to improve the efficacy of logistics activities are rare, particularly in public hospitals. Research avenues Future research could replicate this study in other Colombian cities, in order to generalize the results to the whole country. It could also be interesting to document successful and less successful implementations of innovative logistics practices in Colombian hospitals to guide and promote their adoption. Research limitations/implications The small number of cases considered, and the fact that the research is concentrated in one city, limits the generalizability of the results. Originality/value To the best of the authors’ knowledge, this research is the first to explore the state of healthcare logistics practices in Colombia.

A structured literature review on Big Data for customer relationship management (CRM): toward a future agenda in international marketing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pasquale Del Vecchio ◽  
Gioconda Mele ◽  
Evangelia Siachou ◽  
Gloria Schito
Keyword(s):  
Big Data ◽  
Customer Relationship Management ◽  
Research Agenda ◽  
International Marketing ◽  
Relationship Management ◽  
Customer Relationship ◽  
Future Research ◽  
Content Type ◽  
Future Research Agenda ◽  
Structured Literature Review

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.

Does deal size moderate the effects of board faultlines? Evidence from acquisitions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Daniel Tidbury ◽  
Steven F. Cahan ◽  
Li Chen
Keyword(s):  
Fixed Effects ◽  
Quantitative Research ◽  
Future Research ◽  
Research Approach ◽  
Strategic Decisions ◽  
Negative Effects ◽  
Content Type ◽  
Instrumental Variable Analysis

Purpose Board faultlines, which reflect intrinsic divisions of board members into relatively homogeneous subgroups, are associated with poor firm performance. This paper aims to extend the existing board faultline research by examining how acquisition deal size moderates the negative implications of board faultlines. Design/methodology/approach This paper uses a sample of acquisitions and a quantitative research approach to conduct statistical analysis. Findings Using a sample of acquisitions announced between 2007 and 2016, this paper finds evidence suggesting that strong faultlines are associated with poorer acquisition outcomes in the long-term, but not in the short term. Further, this paper finds that the effect of faultline strength on long-term acquisition outcomes is weaker for larger acquisition deals than smaller acquisition deals. The findings are consistent with deal size moderating the relation between faultlines and acquisition outcomes. Research limitations/implications This paper addresses possible endogeneity through firm fixed effects and instrumental variable analysis. Although this paper provides evidence on the moderating role of deal size in the context of faultlines, future research could examine the role of additional moderators, such as pro-diversity, trust, board leadership and board and task characteristics. Practical implications The findings suggest that boards need to be aware of situations where the negative effects of faultlines are more likely to come to the fore. For example, faultlines are more likely to play a role in more routine, obscure monitoring than for high-profile strategic decisions. Originality/value The study is multidisciplinary as it draws on the management, organizational behaviour and psychology and finance literature. It contributes to the developing literature on faultlines in several important ways. First, this paper supports their view that faultlines have adverse effects on board performance by showing that faultlines negatively impact discrete strategic investment decisions. Second, this paper provides evidence that deals size moderates the faultline-acquisition performance relation, indicating that the role of faultlines is contextual. Third, this paper finds evidence that suggests investors do not factor in board faultlines when responding to acquisition announcements.

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