Assessing customer passion,commitment, and word-of-mouth intentions in digital assistant usage: The moderating role of technology anxiety

Consumers develop a passion for the use of innovations, which is a critical determinant of their success. Research has largely examined drivers of initial acceptance of digital assistants (DAs) and has yet to fully understand the factors driving or deterring consumers’ passion towards DAs and the behavioural outcomes. Drawing on the stimulus-organism-response framework, this study examines a unique set of factors (usefulness, ease of use, privacy concern, and localisation) that act as stimuli to drive an organismic state of passion for DAs, and how this produces behavioural responses of word-of-mouth (WOM) intention and commitment to DA use. The study also examines how technology anxiety moderates passion’s impact on WOM intentions and commitment. The findings show that usefulness, ease of use, privacy concern, and localisation are significant explanatory variables of consumers’ passion towards DAs. Furthermore, passion towards DAs results in WOM intentions and commitment to its use. The findings further show that passion’s effect on DAs in explaining WOM intentions and commitment is weakened by technology anxiety. Lastly, passion is the mediating mechanism through which usefulness, ease of use, privacy concern, and localisation impact WOM intentions and commitment. The implications of these findings for theory and practice are highlighted.     

Economic Impacts of the Possible China–US Trade War

This article uses a multi-country global general equilibrium (GE) model to numerically simulate the effects of possible China–US trade wars. We introduce an endogenous trade imbalance structure with trade cost into the model which helps to explore both tariff and non-tariff trade war effects. Our simulation results show that China will be significantly hurt by the China–US trade war, but negative impacts are affordable. The US can gain under unilateral sanction measures to China, but will lose if China takes retaliation measures. Comparing the effects under mutual trade war, China will lose more than the US. Introducing non-tariff barrier trade wars will intensify the negative effects, and comparatively negative effects to China are larger than to the US. Mexico’s involvement in trade war with the US will strengthen the negative effects and comparatively hurt the US more. Under non-cooperative and cooperative Nash bargaining equilibrium, the US can gain more than China in trade war negotiation, which means the US has stronger bargaining power than China. Additionally, trade wars between China and the US will hurt most countries and the world especially in GDP and manufacturing employment, but benefit their welfare and trade.     

To Be or Not to be Temp? An Analysis of the Moderating Role of Motives for Accepting Temporary Employment

We investigate the role of contract volition and motives for accepting temporary employment in the relationship between precariousness of life and negative psychological symptoms in a sample of 275 Italian temps. Results suggest that the negative effect of contract volition on negative psychological symptoms is partially mediated by precariousness of life. A moderated mediation model shows that specific motives moderate the negative effects of contract volition on precariousness of life, so that when contract volition is higher, workers with weaker motives feel less precarious. This study broadens our understanding of temporary employment outcomes by showing that the negative consequences of precariousness of life seem to be less troublesome among temporary workers with higher contract volition and lower motivation. © 2018 ASAC. Published by John Wiley & Sons, Ltd.     

Long-term forecasting of fuel demand at theater entry points

Managing the distribution of fuel in theater requires Army fuel planners to forecast demand at the strategic level to ensure that fuel will be in the right place, at the right time, and in the amounts needed. This work presents a simulation approach to forecasting that accounts for the structure of the supply chain network when aggregating the demand of war fighters across the theater over the forecasting horizon. The resulting empirical distribution of demand at the theater entry point enables planners to identify forecast characteristics that impact their planning process, including the amplitudes and temporal positions of peaks in demand, and the estimated lead time to the point of use. Experimentation indicates that the forecasts are sensitive to the pattern of war fighter demand, the precise structure of the in-theater supply chain network, and the constraints and uncertainty present in the network, all of which are critical planning considerations.     

Effects of Booking.com's new scoring system

Booking.com provides a massive database compiling millions of reviews about thousands of accommodations worldwide that hotel managers and academics have extensively consulted during the past decade. In 2019–2020, however, the famous website changed several aspects of its methods of calculating hotel scores, the most important one being a change from its peculiar 2.5–10 scale to a more conventional 1–10 scale. Such novelties may cause changes in hotel scores that do not reflect changes, if any, in customer satisfaction. This article offers an initial investigation into the nature and consequences of those changes that professionals and academics should consider to avoid errors in future studies that involve using Booking. com's database.     

Bagging bundle benefits in broadband and media mergers: Lessons from Sky/Vodafone for antitrust analysis

The historic precedents in telecommunications antitrust findings have tended towards finding harm to competition when network operators integrate downstream and bundle the provision of applications and services. The reason for this is that market power in network provision is thought to be extended into the applications market(s). More recently however, proposed mergers have been between telecommunications and media distribution firms, both of whom have some degree of market power, already sell their own services in bundles, and who may or may not have been offering combined bundles already via contractual agreements. Examples include Sky/Vodafone in New Zealand, and Time Warner/AT&T in the United States as well as Vodafone/Unitymedia in Germany and Media Capital/Altice in Portugal. These complex proposed arrangements pose challenges to competition authorities, whose legal and procedural rules and precedents, especially those defining the relevant markets affected by the merger or vertical integration activity, have been developed from the analysis of simpler cases. These precedents may not be sufficient to analyse current cases, characterized by multiple products catering to heterogeneous consumer preferences, and consumers are not constrained to buying only one variant of the products in each of the upstream and downstream markets.We illustrate the challenges by way of a case study of the proposed merger between Sky and Vodafone, declined by the New Zealand Commerce Commission in February 2017. Limitations in existing market definition processes and the evaluation of market power where bundling already occurs risk overlooking complex demand-side interactions that influence the profitability and efficiency of various structural and contractual strategic choices. We propose that classic merger and antitrust analysis based on econometric cost-benefit analysis can be augmented by using simulation and numerical analysis of a range of bundle offers expected to be relevant in decision-making. We develop a simple model and use it to illustrate how it may be used to inform broadband and content mergers, and other complex antitrust cases, such the assessment of the effects of two-sided markets and firm pricing decisions.     

Impact of state-dependent oil price on US stock returns using local projections

In this paper, we investigate the impact of oil prices on both aggregate and industry US real stock returns over the period 1973–2017. The empirical analysis contributes to the related literature introducing a state-dependent oil price (high and low) and the local projections approach. Our main finding is that, depending on the nature of the shock and industry, the negative effects of oil price shocks become exacerbated -and the positive effects get moderated- if oil prices are already high.     

R&D based knowledge capital and future firm growth: Evidence from China’s Growth Enterprise Market firms

Building upon a dynamic stochastic general equilibrium (DSGE) model, this paper examines the role of knowledge-based capital (KC) in improving firms’ future growth in productivity. Based on the analysis of Chinese listed firms from 2006 to 2017 in the Growth Enterprise Market (GEM), we find KC often generates endogenous movements in productivity and earnings over the business cycles, suggesting that the nature of KC is pro-cyclical. Moreover, investment in KC is often classified as a corporate expense and is thus deducted from the current year’s profits. Therefore, firms with high R&D investments have significantly higher future productivity growth but lower current profitability than do those with lower R&D investments. Given these characteristics, KC’s benefits to productivity and future earnings are thus not immediate. For faster growth in the long term, firms should continue investing in KC even if they may face a short-term fall in corporate earnings as a result of internal knowledge investment, especially for fast-growing GEM firms.     

Attitudes and Motivations Toward Craft Beer Consumption: An Explanatory Study in Two Different Countries

This study adopts a revised model of the Theory of Planned Behaviour incorporating self-identity and desire for unique consumer products to understand and predict consumers’ motivation to drink craft beer in Germany (N=210) and Italy (N=211). Data were analysed using Partial Least Squares modelling (PLS) approach. The findings provide support that the extended TPB model is a useful tool for understanding the consumers’ choice to drink craft beer. The results confirm the major role played by consumers’ attitudes and self-identity. Mediation analysis indicates a potential indirect effect from self-identity, subjective norms and the desire for unique consumer products on individual behaviour both in the German and Italian sample. Implications for theory are discussed for further research developments within the context of consumption of crafted food products.     

Marketing perspectives on digital business models: A framework and overview of the special issue

Strong digital developments are changing markets, and firms may adopt a digital business model to deal with these developments. This special issue focuses on such digital business models. In this editorial, we discuss the relevance of digital business models, propose a conceptual framework, and discuss how digital business models affect firms, firm performance, and markets. We introduce the papers in this issue and show how they each fit within the conceptual framework. We discuss four important areas for future research.