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Artificial intelligence–enabled voice assistants (VAs), such as Amazon's Alexa, Google Assistant, and Apple's Siri, are available in smartphones, smart speakers, and other digital devices and channels. Use of these VAs is growing rapidly and are expected to significantly impact purchase intentions. This article focuses on how the communications enabled and provided by these VAs influence VA evaluations and usage intentions, contingent on the stage of the customer journey.

This paper builds from work on VAs, work on artificial intelligence (AI) and work on communications, to offer a comprehensive and up-to-date understanding of how VA evaluations and usage intentions may be impacted by the communications from VAs, contingent on the stage of the customer journey.

This paper proposes a model for VA enabled communications impact VA evaluations. It builds from work on VAs, AI, communications, and customer journey management. In the proposed model, VA evaluations are not only impacted by source, message and recipient characteristics (per prior communication models), but also by (1) VA/AI specific features, like perceptions of humanness and perceptions of artificiality, and (2) stage of the customer journey.

This paper provides guidance to firms, as regards how VA communications may influence VA evaluations and usage intentions. As an initial conjecture, (1) increasing perceptions of humanness, (2) decreasing perceptions of artificiality (3) a better fit between communications style (e.g. abstract vs concrete), and request type (e.g. transactional vs informational) (4) a better fit between VA communications (e.g. information vs banter), and consumer perceptions of the VA (servant vs partner) and (5) a better fit between VA communications and the stage of the customer journey may positively influence VA evaluations and VA usage intentions.

This paper provides a fresh look at the impact of VA communications, clarifying how such communications impact VA evaluations and usage intentions at various stages of the customer journey.

This paper examines how “strategic” chief financial officers (CFOs) with an elite MBA (i.e. elite CFOs) influence (1) stock market reaction to CFO hiring announcements (ex ante measure) and (2) post-hiring firm performance (ex-post measure).

This paper utilizes a comprehensive, proprietary database with information about the educational qualifications and prior professional experience of 1,340 CFOs hired during the period 1994–2014. For each CFO, the authors hand-collected data on the CFO's prior experience as well as CFO's educational profile. The authors also identified the date of CFO hiring from financial press articles. To evaluate performance, the authors consider two different, yet complementary performance measures: (1) the stock market reaction, a priori measure and (2) a traditional measure of performance, which is a post-facto metric related to firm performance.

The results show that hiring CFOs with scarce and strategic human capital elicits a positive market response and leads to significant improvement in firm performance. Further, firms with greater managerial discretion benefit more from hiring elite CFOs. The results hold after controlling for chief executive officer (CEO), CFO, top managment team (TMT), and board characteristics.

This study shows converging and mutually consistent results about what specific types of CFO human capital create firm value and, more importantly, show that such value-creation is only in the case of small firms and high growth firms. The study also advances the stream of literature that contrasts the relative benefits of specialist versus generalist qualifications.

This paper aims to attempt to empirically investigate the impact of privatization on the performance of central public sector enterprises in India. Further attempt is made to explore whether privatization is a necessary or sufficient condition for improvement of performance of central public sector enterprises.

The scope of the study is limited to financial and operating performance analysis of 206 central public sector enterprises in India. Multiple regression analysis has been used to determine the magnitude and direction of relationship between dependent and independent variables and identify variables other than privatization which affects performance.

The study found that financial and operational performance of firms has improved significantly due to privatization. Further, firm-specific factors and other parallel reforms adopted by enterprises have significantly influenced their performance. The established regression model is highly significant with F-ratio of 31.825 at 99% significance level. The degree of explanation of the model is robust with adjusted R² at 0.956 implying that only 4.40% of explanation in the dependent variable cannot be explained by designated independent/explanatory variables.

The study would be useful to public policymakers to reach to a policy view on whether further disinvestment/privatization of central public sector enterprises need to be continued, and if so, then to what extent and direction.

The purpose of this paper is to review several influential empirical studies that examine the performance of state-owned enterprises (SOEs). The paper undertakes a citation analysis of journals, authors and titles in the area of privatization and firm performance in general, and assesses the impact of privatization on the performance of SOEs in particular.

The methodology is based on a systematic and structured review of over 100 papers published in economics, public management, business strategy and related social sciences. The systematic review is based on citation analysis of journals, authors and titles. The journal and author citation counts were tabulated by leveraging the databases of SCImago Journal Rankings and Google Scholar and filtered it to find out the most highly cited journals and authors. The structured review is based on the framing opinion with respect to major findings, variables selected, measurement techniques and statistical tools applied by different researchers. The impact is measured through coding a value “P” in case of positive effects, “N” in case of negative effects and “NT” in case the study found both positive and negative effects.

The citation analysis reveals that American Economic Review, Journal of Financial Economics, Review of Financial Studies and Journal of Finance as the top-cited journals, and Megginson and Netter (3,468), Megginson et al. (1,737), Djankov and Murrell (1,356), Boardman and Vining (1,320), Balsam et al. (1,094) and DeWenter and Malatesta (1,018) as the top-cited authors in this particular research field. While majority research studies have revealed a significant improvement in the performance of SOEs in the post-privatization period, few studies have reserved their impact as neutral or even negative in some respects.

Given that economic transitions, corporate governance, and performance of SOEs have attracted a great attention from public management and business strategy scholars in recent years, this paper aims to summarize a large number of empirical studies that examine the performance of SOEs. The paper would be useful to future researchers especially the beginners and early career researchers in terms of its current trends, selection of variables, measurement techniques and statistical tools applied.

Fourth Industrial Revolution (IR 4.0) technologies have strong potential to affect consumer well-being, positively or negatively, so the current paper aims to review potential opportunities and threats that these technologies represent for consumers in several core economic sectors: health care, education, financial services, manufacturing and retailing.

This paper proposes a conceptual framework for how IR 4.0 technologies affect consumer well-being in five representative sectors: health care, education, financial services, manufacturing and retailing. The authors argue that the potential transformations of these specific sectors, facilitated by these technologies, may have profound effects on consumer well-being, with urgent public policy implications.

Emerging technologies, such as artificial intelligence, robotics, the Internet of Things, three-dimensional printing, machine learning and blockchain, provide customers with novel approaches toward decisions regarding health, education, finances and other fundamental parts of their lives. The organizations that provide these services, such as hospitals, universities and banks, actively adopt the innovations offered by IR 4.0. These evolving and disruptive technologies thus are changing reality for consumers and providers.

This paper proposes some novel public policy implications of IR 4.0 technologies for consumer well-being, and it outlines further research directions that can enhance understanding of relevant technologies and the consequences of their use for society.

Technological progress and the advancement of the 4th Industrial Revolution (IR 4.0) are well underway. However, its influence on the transformation of core sectors from the perspective of consumer well-being remains under-explored. Seeking to bridge this gap in the marketing and public policy literature, this study aims to propose a conceptual framework to explicate how data-driven, intelligent and connected IR 4.0 technologies are blurring traditional boundaries between digital, physical and biological domains.

This is a conceptual paper using primarily a literature review of the field. The authors position the work as a contribution to consumer well-being and public policy literature from the lens of increasingly important in our technology-integrated society emerging technologies.

The authors define and conceptualize technology-enabled well-being (TEW), which allows a better understanding of transformative outcomes of IR 4.0 on three essential dimensions of consumer well-being: individual, societal and environmental. Finally, the authors discuss public policy implications and outline future research directions.

The authors highlight specific gaps in the literature on IR 4.0. First, past studies in consumer well-being did not incorporate substantial changes that emerging IR 4.0 technologies bring, especially across increasingly blurring digital, physical and biological domains. Second, past research focused on individual technologies and individual well-being. What is unaccounted for is the potential for a synergetic, proactive effect that emerging technologies bring on the aggregate level not only to individuals but also to society and the environment. Finally, understanding the differences between responses to different outcomes of technologies has important implications for developing public policy. Synergetic, proactive effect of technologies on core sectors such as healthcare, education, financial services, manufacturing and retailing is noted.

The purpose of this paper is to perform an integrative analysis, mapping the main areas of the celebrity endorsement literature of the last 20 years, offering a taxonomy of subject subareas and a research agenda for the topic.

The research was divided into two stages: the first was a systematic review of literature, and the second consisted on complementary information based on the generation and analysis of the maps elaborated by the VOSviewer software based on the data collected. The searches for the data occurred between the months of January and March of 2017.

The paper provides a decentralization framework in terms of authors regarding the celebrity endorsement. The country with the largest number of research works in the area is the USA; also, the paper reveals the most cited document, also the main journals about the theme, the main keywords, the main authors and their discussions. Thereafter, the paper presents tables containing the main author’s and respective theme inside celebrity endorsement.

One possible limitation of the research is that it was performed only in the Scopus database, and it may be suggested as future searches that other databases are included as well.

The results of this paper can serve as a facilitating guide for researchers and for managers that want to know more about the topic.

A categorization table was proposed containing the subthemes of celebrity endorsement that were discussed in the last 20 years and a list of their respective authors, including the following subjects: cultural comparison, congruence, adverse effects, efficacy and intention to purchase, marketing destinations, social media, models and reviews, multiple endorsements, social policy, values of brand/economic.

The effectiveness of microfinance institutions (MFIs) in rescuing poor borrowers from “clutches of” moneylenders has been a much-debated topic over the past few decades. This paper aims to contribute by presenting a model of competition between a socially motivated MFI and profit-maximizing moneylenders when market segmentation exists.

A principal–agent model is used to characterize equilibrium conditions under scenarios where only moneylenders operate, only MFI operates and when both co-exist to pose comparative results effectively.

The authors find unambiguous benefits arising when a welfare-maximizing MFI enters the market. However, there are benefits to having local agents like moneylenders on the ground who also have informational advantages.

To the best of authors’ knowledge, this study is the first to evaluate the competition between MFI and moneylenders under the framework of captive and noncaptive segments with a mandatory savings requirement.