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•This articles explores the challenges of adoption of Human resource analytics.•We propose a comprehensive framework for adoption of HR Analytics for practitioners and ...academicians.•We are introducing framework synthesis as a method for systematic review.•The paper promotes the practice of big data and analytics in Human resource management.
Data analytics has gained importance in human resource management (HRM) for its ability to provide insights based on data-driven decision-making processes. However, integrating an analytics-based approach in HRM is a complex process, and hence, many organizations are unable to adopt HR Analytics (HRA). Using a framework synthesis approach, we first identify the challenges that hinder the practice of HRA and then develop a framework to explain the different factors that impact the adoption of HRA within organizations. This study identifies the key aspects related to the technological, organizational, environmental, data governance, and individual factors that influence the adoption of HRA. In addition, this paper determines 23 sub-dimensions of these five factors as the crucial aspects for successfully implementing and practicing HRA within organizations. We also discuss the implications of the framework for HR leaders, HR Managers, CEOs, IT Managers and consulting practitioners for effective adoption of HRA in organization.
The recent advancement in internet 2.0 creates a scope to connect people worldwide using society 2.0 and web 2.0 technologies. This new era allows the consumer to directly connect with other ...individuals, business corporations, and the government. People are open to sharing opinions, views, and ideas on any topic in different formats out loud. This creates the opportunity to make the "Big Social Data" handy by implementing machine learning approaches and social data analytics. This study offers an overview of recent works in social media, data science, and machine learning to gain a wide perspective on social media big data analytics. We explain why social media data are significant elements of the improved data-driven decision-making process. We propose and build the "Sunflower Model of Big Data" to define big data and bring it up to date with technology by combining 5 V’s and 10 Bigs. We discover the top ten social data analytics to work in the domain of social media platforms. A comprehensive list of relevant statistical/machine learning methods to implement each of these big data analytics is discussed in this work. "Text Analytics" is the most used analytics in social data analysis to date. We create a taxonomy on social media analytics to meet the need and provide a clear understanding. Tools, techniques, and supporting data type are also discussed in this research work. As a result, researchers will have an easier time deciding which social data analytics would best suit their needs.
•PA has emerged alongside a cluster of related terms describing digital innovations for modelling and optimising organisational human capital.•Trends in terminology reflect evolving priorities, ...methodological and technological innovations, communities of practice and rebranding.•The PA literature is multi-disciplinary, extending beyond HR or management, with the data and computer sciences playing an increasing role.•Gaps in training exist and ethical issues are rarely considered, despite risks to employees and organisations.•PA research is at an early stage and more studies are needed to build the evidence-base.
This mixed-method ‘scoping review’ mapped the emergence of the term People Analytics (PA), the value propositions offered by vendors of PA tools and services and the PA skillsets being sought by professionals. Analysis of academic research and online search traffic since 2002 revealed changes in the relative trajectory of PA and conceptually related terms over the past fifteen years, indicating both the re-branding of similar innovations and a differentiation of priorities and communities of practice. The market in commercial PA tools and services is diverse, offering numerous functional and strategic benefits, although published evidence of these outcomes remains sparse. Companies marketing PA systems and services emphasise benefits to employers more than to personnel. Across the sources examined, including specialised online courses, PA was largely aligned with HRM, however its development reflects the shifting focus of HR departments from supporting functional to strategic organisational requirements. Consideration of ethical issues was largely absent.
Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved ...in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifles the evolution, applications, and emerging research areas of BI&A. BI& A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current research in BI&A is analyzed and challenges and opportunities associated with BI&A research and education are identified. We also report a bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A research framework.
To date, health care industry has not fully grasped the potential benefits to be gained from big data analytics. While the constantly growing body of academic research on big data analytics is mostly ...technology oriented, a better understanding of the strategic implications of big data is urgently needed. To address this lack, this study examines the historical development, architectural design and component functionalities of big data analytics. From content analysis of 26 big data implementation cases in healthcare, we were able to identify five big data analytics capabilities: analytical capability for patterns of care, unstructured data analytical capability, decision support capability, predictive capability, and traceability. We also mapped the benefits driven by big data analytics in terms of information technology (IT) infrastructure, operational, organizational, managerial and strategic areas. In addition, we recommend five strategies for healthcare organizations that are considering to adopt big data analytics technologies. Our findings will help healthcare organizations understand the big data analytics capabilities and potential benefits and support them seeking to formulate more effective data-driven analytics strategies.
•A big data analytics architecture for healthcare organizations is built.•We identify five big data analytics capabilities from 26 big data cases.•We present several strategies for being successful with big data analytics in healthcare settings.•We provide a comprehensive understanding of the potential benefits of big data analytics.
As the use of analytics becomes increasingly important in today's business landscape, The Marketing Analytics Practitioner's Guide (MAPG) provides a thorough understanding of marketing management ...concepts and their practical applications, making it a valuable resource for professionals and students alike.The four-volume compendium of MAPG provides an in-depth look at marketing management concepts and their practical applications, equipping readers with the knowledge and skills needed to effectively inform daily marketing decisions and strategy development and implementation. It seamlessly blends the art and science of marketing, reflecting the discipline's evolution in the era of data analytics. Whether you're a seasoned marketer or new to the field, the MAPG is an essential guide for mastering the use of analytics in modern marketing practices.Volume II, Parts III to V, is dedicated to Product, Advertising, Packaging, Biometrics, Price and Promotion. Part III focuses on the product development process, covering the analytic methods and procedures used to screen ideas, concepts, and products during development, launch, and post-launch.Part IV delves into advertising, packaging, and biometrics. The fundamentals, concepts, and core themes of advertising are covered in a chapter that explains how advertising works and what makes it effective and impactful. The chapter on Advertising Analytics focuses on audience engagement, both behavioural and attitudinal, and the analytic techniques and research processes used to test and track advertising.The chapter on packaging is devoted to the analytics and research techniques employed throughout the stages of packaging development and the chapter on biometrics covers biometric techniques and the relevant technologies, devices, metrics, and applications of these techniques that are useful to practitioners.Finally, Part V deals with price and promotion, covering a variety of pricing research methods and techniques for promotions evaluation. This will help the reader to gain an understanding of the importance and application of pricing and promotions in marketing strategy.
As the use of analytics becomes increasingly important in today's business landscape, The Marketing Analytics Practitioner's Guide (MAPG) provides a thorough understanding of marketing management ...concepts and their practical applications, making it a valuable resource for professionals and students alike.The four-volume compendium of MAPG provides an in-depth look at marketing management concepts and their practical applications, equipping readers with the knowledge and skills needed to effectively inform daily marketing decisions and strategy development and implementation. It seamlessly blends the art and science of marketing, reflecting the discipline's evolution in the era of data analytics. Whether you're a seasoned marketer or new to the field, the MAPG is an essential guide for mastering the use of analytics in modern marketing practices.Volume III is entirely dedicated to digital marketing. The first chapter, New Media, covers the impact of new media on the social, political and marketing landscape. It outlines the new rules and perspectives, leaving readers with a clear understanding of how they must adapt to succeed in the digital age.The Digital Marketing chapter covers a wide range of topics related to digital tools, techniques, processes, as well as the opportunities and challenges of digital marketing. A set of chapters on social media highlight best practices to adopt on each of the networks - Facebook, Twitter, Instagram, YouTube and LinkedIn.Search Engine Optimization (SEO) covers on-page and off-page optimization to increase inbound traffic and channel it through the digital marketing funnel. Web Analytics covers the processes that constitute a web analytics system and deals with the use of web analytics platforms such as Google Analytics to assess the effectiveness of digital marketing in attracting and converting prospects.Search Advertising covers advertising on search engines to draw prospects and lead them through the digital marketing funnel. It covers topics such as the Google auction, keyword strategies, and practices to improve the effectiveness of search advertising.The final chapter, Digital Execution, serves as a comprehensive guide to developing and executing digital marketing plans.
As the use of analytics becomes increasingly important in today's business landscape, The Marketing Analytics Practitioner's Guide (MAPG) provides a thorough understanding of marketing management ...concepts and their practical applications, making it a valuable resource for professionals and students alike.The four-volume compendium of MAPG provides an in-depth look at marketing management concepts and their practical applications, equipping readers with the knowledge and skills needed to effectively inform daily marketing decisions and strategy development and implementation. It seamlessly blends the art and science of marketing, reflecting the discipline's evolution in the era of data analytics. Whether you're a seasoned marketer or new to the field, the MAPG is an essential guide for mastering the use of analytics in modern marketing practices.Volume IV is divided into two parts - Retail and Statistics for Marketing Analytics. Retail delves into the various aspects of retail tracking, sales and distribution, retail analytics, and category management.The chapter on retail tracking covers in detail the processes that make up a retail measurement service, including the metrics supported by the service, the key benefits of the service, and how the data is interpreted.The sales and distribution chapter covers five key managerial objectives - building distribution, targeting the right channels and chains, optimizing assortment, securing retailer support, and managing stocks in trade.The retail analytics chapter covers a range of diagnostic analytic tools used to extract insights from disaggregate outlet-level data.Category management offers a framework for retailers to manage their business and for suppliers to understand the dynamics of trade marketing.Statistics for Marketing Analytics covers basic statistics, sampling, and marketing mix modelling. It aims to equip readers with the statistical knowledge and tools necessary to analyse and interpret marketing data. The chapters in this part provide a comprehensive understanding of statistical methods and their applications in marketing analytics, including sampling techniques, probability distributions, hypothesis testing, and regression analysis.
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