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1 – 10 of over 1000Andrea Sestino, Adham Kahlawi and Andrea De Mauro
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Social implications
Socially, the authors also reveal insights explaining how the data economy features may be exploited to build a better society.
Originality/value
This is the first paper exploring the data economy opportunity for business value creation from a critical perspective.
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Joyce A. Mauro and Nicholas J. Mauro
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…
Abstract
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.
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Hakeem Ishola Mobolaji and Kamil Omoteso
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Originality/value
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.
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Introduction: Healthcare facilities have witnessed deterioration, limited employee engagement, and communication gaps due to a lack of wireless technology. The Internet makes work…
Abstract
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.
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Luciano Fratocchi and Cristina Di Stefano
Production activities affect environmental and social pillars of firm’s sustainability. Therefore, decisions regarding where products are manufactured have a tremendous impact on…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Practical implications
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.
Originality/value
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.
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A. Mauro, F. Arpino, N. Massarotti and P. Nithiarasu
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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Chiara Giachino, Martin Cepel, Elisa Truant and Augusto Bargoni
The purpose of this study is to investigate the relationship between artificial intelligence (AI) and decision making in the development of AI-related capabilities. We investigate…
Abstract
Purpose
The purpose of this study is to investigate the relationship between artificial intelligence (AI) and decision making in the development of AI-related capabilities. We investigate if and how AI-driven decision making has an impact on firm performance. We also investigate the role played by environmental dynamism in the development of AI capabilities and AI-driven decision making.
Design/methodology/approach
We surveyed 346 managers in the United States using established scales from the literature and leveraged p modelling to analyse the data.
Findings
Results indicate that AI-driven decision making is positively related to firm performance and that big data-powered AI positively influences AI-driven decision making. Moreover, there is a positive relationship between big data-powered AI and the development of AI capability within a firm. It is also found that the control variables of firm size and age do not significantly affect firm performance. Finally, environmental dynamism does not have a positive and significant moderating effect on the path connecting big data-powered AI and AI-driven decision making, while it exerts a positive moderating effect on the development of AI capability to strengthen AI-driven decision making.
Originality/value
These findings extend the resource-based view by highlighting the capabilities developed within the firm to manage big data-powered AI. This research also provides theoretically grounded guidance to managers wanting to align their AI-driven decision making with superior firm performance.
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Bella Belerivana Nujen and Lise Lillebrygfjeld Halse
Global businesses base their sourcing operations and manufacturing decisions primarily on financial principles and metrics. What is often disregarded is the strategic value of…
Abstract
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.
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Karen Powroznik, Irena Stepanikova and Karen S. Cook
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…
Abstract
Purpose
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.
Methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Originality/value
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.
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Srishti Goyal and Vasudha Chopra
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…
Abstract
Purpose
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.
Methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Originality/value
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.
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