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The data economy, emerging from the current hyper-technological landscape, is a global digital ecosystem where data is gathered, organized and exchanged to create economic value. This paper aims to shed light on the interplay of the different topics involved in the data economy, as found in the literature. The study research provides a comprehensive understanding of the opportunities, challenges and implications of the data economy for businesses, governments, individuals and society at large, while investigating its impact on business value creation, knowledge and digital business transformation.

The authors conducted a literature review that generated a conceptual map of the data economy by analyzing a corpus of research papers through a combination of machine learning algorithms, text mining techniques and a qualitative research approach.

The study findings revealed eight topics that collectively represent the essential features of data economy in the current literature, namely (1) Data Security, (2) Technology Enablers, (3) Business Implications, (4) Social Implications, (5) Political Framework, (6) Legal Enablers, (7) Privacy Concerns and (8) Data Marketplace. The study resulting model may help researchers and practitioners to develop the concept of data economy in a structured way and provide a subset of specific areas that require further research exploration.

Practically, this paper offers managers and marketers valuable insights to comprehend how to manage the opportunities deriving from a constantly changing competitive arena whose value is today also generated by the data economy.

Socially, the authors also reveal insights explaining how the data economy features may be exploited to build a better society.

This is the first paper exploring the data economy opportunity for business value creation from a critical perspective.

Provides an explanation of Deming’s Theory of Profound Knowledge, which includes the four core values. Cites these as appreciation for a system, some knowledge of the theory of variation, a theory of knowledge and some knowledge of psychology. Defines leadership and the actions required to implement the Deming leadership method. Argues this implementation will clear most barriers which exist when starting any total quality management programme and will allow managers/supervisors to acquire enough knowledge to make the transformation from supervisory management to leadership excellence. States that only through applying the Deming principles first will any future improvement be successful.

The general objective of the paper is to investigate the impact of corruption and other institutional factors on economic growth in some selected transitional economies for the period of 1990‐2004 and make policy recommendations for combating it. Specifically, the study attempts to: assess whether corruption has any impact on the growth of the sample countries; examine whether simultaneous policy reform focussing on accountability and rule of law impact positively on growth of these economies; and investigate whether corruption in these countries exhibit the efficient grease syndrome.

The indices for corruption and other institutional variables were drawn from International Country Risk Guide (ICRG – PRS) for the period of 1990‐2004, the polity data were obtained from the Polity IV, while the real gross domestic product (GDP) per capita growth were obtained from the Penn World 6.2. The study covered the period between 1990 and 2004 that coincides with the real transition of these economies from centrally planned to market economies. It adopts the panel data framework, the fixed effect, the random effect and the maximum likelihood estimation techniques for the analysis.

The study's findings support Mauro's hypothesis that corruption has a negative impact on the economies. However, the study cannot find a robust statistical evidence to support the efficient grease hypothesis of Leff and Huntington.

The paper recommends policy efforts that would strengthen accountability and bureaucratic quality, reduce discretionary power, ethnic fractionalisation and military involvement in politics with a view to enhancing social responsibility practices at both micro and macro levels.

Unlike previous studies that focussed on single cross‐country regression with an assumption of identical aggregate production function for all countries, this study adopts the panel data framework that makes it possible to allow for differences in the form of unobservable individual country effects. The paper employs the fixed effect, the random effect and the maximum likelihood estimation techniques.

Introduction: Healthcare facilities have witnessed deterioration, limited employee engagement, and communication gaps due to a lack of wireless technology. The Internet makes work and life quicker and more intelligent. The Internet of Things (IoT) is a scheme of interconnection equipped with unique identifiers in recent years. Artificial intelligence (AI) and IoT advancement allow employees to develop competent and predictive services and solutions in human resource (HR) practices. This chapter has been formulated to summarise and classify the existing research and better understand the past, present, and future of employee engagement by improving IoT interrelated devices in the healthcare industry.

Purpose: This study aims to categorise and overcome the challenges involved in HR practices. Effectively embracing IoT application-connected devices in the healthcare industry can enhance human resources management’s (HRM) role and measure performance assessment to improve employee engagement and productivity.

Methodology: In this study, the authors develop propositions dependent on a theory-based review. A systematic analysis was applied to minimise the challenges of HRM. The subject-related articles from different journal sources, like Scopus, Emerald, Web of Science, Springer, etc., were analysed based on engagement criteria. It was graphically recorded in a collective and informative way to emphasise the review outcomes. The study has presented the positive impacts of AI and IoT on engagement in health care.

Summary: This chapter accumulated theory-based knowledge about healthcare employee engagement and how IoT-based technology like AI can optimise employees’ engagement effectively. Further, it draws comparative benefits for a workforce to execute performance advancements and create future progressive aspects for healthcare employees.

Production activities affect environmental and social pillars of firm’s sustainability. Therefore, decisions regarding where products are manufactured have a tremendous impact on a firm’s sustainability. However, until now, interdependencies among back-shoring decisions and sustainability issues have been rarely addressed. This paper aims to fill this research gap and develop avenues for future research.

The paper adopts an explorative approach based on a two-steps desk research strategy. In the first one, a structured literature review is implemented analysing 105 Scopus documents published up to August 2018. In the second step, empirical evidence of manufacturing back-shoring decisions coming from secondary sources is analysed and discussed.

The investigated research questions shed new light on the “how” back-shoring decisions are taken and implemented. The structured review and the empirical evidence show that environmental and social sustainability issues are increasingly assuming certain relevance for the academic debate and managerial decisions.

The structured analysis of the selected literature and the empirical evidence sorted by the UnivAQ Manufacturing Reshoring Dataset clearly shows that neither scholars nor firms’ managers and entrepreneurs considered the environmental and social pillars of sustainability as the most relevant in terms of back-shoring drivers/motivation, outcome/benefit and/or barrier/enabler.

The paper suggests policymakers that sustainability-based legislations may influence – and support – the firm’s decision to backshore. At the same time, policymakers should carefully reflect on the role of market labour laws and ensure that relocations are not based on “informal subcontracting and informal employment”. At the same time, the paper suggest managers to adopt a “progressive” and/or a “selective” approach when implementing reshoring decisions based (also) on sustainability issues.

Even if other authors suggest that sustainability issues may be relevant for the reshoring decisions, this is the first attempt to define the base of knowledge on this topic and to suggest avenues for further research.

The purpose of this paper is to describe two‐ and three‐dimensional numerical modelling of solid oxide fuel cells (SOFCs) by employing an accurate and stable fully matrix inversion free finite element algorithm.

A general and detailed mathematical model has been developed for the description of the coupled complex phenomena occurring in fuel cells. A fully matrix inversion free algorithm, based on the artificial compressibility (AC) version of the characteristic‐based split (CBS) scheme and single domain approach have been successfully employed for the accurate and efficient simulation of high temperature SOFCs.

For the first time, a stable fully explicit algorithm has been applied to detailed multi‐dimensional simulation transport phenomena, coupled to chemical and electrochemical reactions, in fluid, porous and solid parts of a SOFC. The accuracy of the present results has been verified via comparison with experimental and numerical data available in the literature.

For the first time, thanks to a stabilization analysis conducted, the AC‐CBS algorithm has been successfully used to numerically solve the generalized model, applied in this paper to describe transport phenomena through free fluid channels and porous electrodes of SOFCs, without the need of further conditions at the fluid‐electrode interface.

Global businesses base their sourcing operations and manufacturing decisions primarily on financial principles and metrics. What is often disregarded is the strategic value of domestic locations and contextual tacit knowledge. However, recent empirical work on knowledge flows shows that proximity is crucial. The risk of losing knowledge and important competencies developed through generations within companies and value chains needs to be considered when developing a global sourcing strategy. This chapter sheds light on how global shift-backs, through backshoring are seen to affect organizations that are located in a high-cost country. Based on interviews with managers and key personnel within a specific industry, we explore how companies preserve innovative capabilities when considering closing down (captive) offshore centers or when embarking on a backshoring strategy. The implications derived from the case offers valuable insights into how organizational capabilities could be restored when companies bring manufacturing back.

This research explores how gender influences the experience of cancer care and proposes a new explanation for gender differences in posttraumatic growth among individuals who received blood or marrow transplantation as treatment for lymphoma.

We use mixed methods, combining quantitative examination of surveys with 180 survivors with qualitative findings from semi-structured face-to-face interviews with 50 survivors. Participants were 2–25 years after transplantation. Quantitative data were analyzed using statistical modeling; qualitative data were analyzed using thematic coding.

A quantitative examination indicates that compared to men, women report greater posttraumatic growth and more positive impacts of cancer despite having lower physical health. These gender differences are robust even after controlling for physical and emotional well-being, life satisfaction, and social support. Qualitative findings from in-depth interviews show that gender norms and expectations about masculinity and femininity shape how individuals experience illness and perform the role of patient and survivor. Expectations about being a good patient and survivor are more aligned with expectations about femininity and tend to conflict with expectations about masculinity. Gender norms discourage men from reporting personal growth from cancer and encourage women to overemphasize the positive aspects of having had cancer.

This study was conducted two or more years after treatment had ended; therefore, potential for recall bias existed. Nevertheless, the findings suggest that viewing cancer as transformative is part of a gender performance that limits opportunities for individuals to experience and express a diverse range of reactions which, at times, increases the emotional burden on individuals.

By combining survey data with in-depth interviews, the study offers new insights into the causes of gender differences in the reporting of patient outcomes after illness.

The investment development path of emerging markets’ MNEs is significantly different from the developed (TRIAD) world’s MNEs; BRIC MNEs seem to have taken a different trajectory on account of various political and economic reasons, ranging from the ‘forms of entry’ to ‘country-specific advantages’ (Tulder, R. V. (2010). Toward a renewed stages theory for BRIC multinational enterprises? A home country bargaining approach. In K. P. Sauvant, G. McAllister, & W. A. Maschek (Eds.), Foreign direct investments from emerging markets: The challenges ahead (pp. 61–74). New York, NY: Palgrave Macmillan). Yet, some believe that in the long run the internationalization strategy of the developed world MNEs and BRIC MNEs will converge. Internationalization strategies as measured by OFDI depend on various macroeconomic determinants such as income, interest rate, openness of the economy, etc. The chapter intend to highlight, the significant difference between these two groups of countries on account of diverse political reforms towards internalization of firms, yet see if these different countries might converge.

Regression analysis examines the significance of the role of home government by testing the effect of governance indicators; that is voice and accountability, on OFDI. It further, tests for convergence of internationalization strategies of the two historically divergent groups, also, it tests convergence amongst the BRIC nations. Along with forecasting, time series analysis is also employed to examine convergence using univariate sigma convergence techniques.

Impact of voice and accountability is significant but it hinders OFDI for BRIC nations, while it promotes OFDI for TRIAD & ALL. Moreover, the analysis found the existence of convergence, that is BRIC will catch up with TRIAD, but though convergence exists amongst BRIC if we take a long span of time (45 years), it is absent in short span of time (19 years), as lately BRIC have shown divergent tendency.

Small sample size in multivariate regression analysis. Also, the governance indicator, that is voice and accountability, is perception based, and missing gaps in data for governance indicator is filled using interpolation.

Empirically testing the convergence of BRIC nations with the developed world. A univariate time series analysis is undertaken to understand each country’s heterogeneous FDI outflows and to address the research gap in existing forecasting literature. In addition, the comparison specifically between the Emerging Market Economies, that is the BRIC nations and the developed world gives some useful insights. This chapter ascertains the impact of governance indicator on OFDI; empirical literature shows such analysis for IFDI & FDI, but OFDI is rarely been dealt with.

Over time, the concept of word of mouth (WOM) has spread beyond marketing into other disciplines. This is because WOM is important in decision-making at both the individual and organisational levels. Also, people are more likely to trust recommendations from their peers than those from companies. Therefore, the purpose of this study is to investigate the perceived usefulness of WOM messages for small and medium-sized enterprise (SME) suppliers in participating in Tanzanian public procurement opportunities.

The study collected cross-sectional data from 214 SME suppliers who supply common use items to public procuring organisations in Dodoma City, Tanzania. Structural equation modelling was used to test the direct relationships between study variables, and Hayes' PROCESS macro was used to test for the indirect effect of WOM message delivery on WOM attributes and the perceived usefulness of WOM.

WOM attributes that include expertise differential, perceptual homophily, and trustworthiness are related to the perceived usefulness of WOM. Also, WOM message delivery mediates the relationship between the WOM attributes and the perceived usefulness of WOM in enhancing public procurement participation. Therefore, the study's findings revealed that WOM is applicable in the public procurement context, under which public buyers act as senders and suppliers act as receivers. The latter finds out about public procurement opportunities and responds to them, while the former gives suppliers whatever information they need to respond to public procurement tenders that have been advertised.

Because the study was cross-sectional, it was difficult to determine whether the opinions gathered over time remained consistent. Furthermore, only suppliers who are parties to framework contracts under Government Procurement Services Agency were included in the study. Therefore, the sample was limited to only suppliers supplying common use items to various public organisations in Dodoma City, Tanzania.

This paper integrates the concept of WOM from the marketing discipline and public procurement. As a result, the study adds to the understanding of the use of information transmission in terms of the contribution of WOM messages from public buyers to suppliers to enhance small and medium enterprises' participation in public procurement opportunities.