Client Importance and Audit Quality at the Individual Audit Partner,Office, and Firm Levels

We investigate whether audit partner level data provides a more powerful measure than office or firm level measures of client importance. We find that the likelihood of issuing a going-concern opinion (any and first-time) increases, and the absolute value of discretionary accruals decreases, in relation to the proportion of audit fees to the total audit fees received by audit partners from all their clients. We also find that the likelihood of issuing a going-concern opinion (any and first-time) increases, and the absolute value of discretionary accruals decreases, in relation to the proportion of non-audit services fees from a client to total non-audit service fees, and the proportion of total audit and non-audit service fees from a client to total fees from all their clients at the office and firm levels. Our findings provide evidence to regulators, audit clients, and stakeholders that audit partners do not succumb to pressure from economically more important clients as audit quality has a positive association with client importance.     

The dark side of innovation: How new SKUs affect brand choice in the presence of consumer uncertainty and learning

New product activity is critical for sustained success of consumer packaged goods (CPG) brands. However, the impact of new SKUs on the perceived quality, quality uncertainty and subsequent choice of the brand as a whole is, as of yet, not well understood. The authors study how new additions to the brand line shape consumers’ quality perceptions, and how this – next to the mere line length effect – influences their choice of brands over time. They do so in the setting of an emerging market (China), where new product activity is particularly pervasive. Using a unique scanner panel dataset of Chinese households over the period 2011–2014, they estimate a Bayesian learning model that accommodates varying quality, on two CPG categories, and for two types of new-product additions (new sensory SKUs vs. new non-sensory SKUs). They show that while adding new SKUs may lift the brand’s perceived quality level, it also makes consumers more uncertain about the quality of the brand – dampening their brand choice. This holds especially for light customers – an important part of the brand clientele. Managerial implications are discussed.     

Metaverse as a disruptive technology revolutionising tourism management and marketing

Metaverse is the next disruptive technology that will impact society in the coming decades, by enabling immersive experiences in both virtual and physical environments. Although still conceptual, Metaverse converges the physical and digital universe, allowing users to seamlessly traverse between them. Digital immersion offers opportunities for people to travel in time, supporting users to experience virtually ancient encounters, space explorations or dangerous natural phenomena, such as volcano eruptions. Users can explore immersive environments for working, learning, transacting, exploring interests and socialising with others. This is already evident in gaming ecosystems, where gamers effectively interact in the metaverse. Although still experimental, Metaverse is expected to revolutionize travel and tourism management and marketing. It empowers destination awareness, positioning and branding, as well as coordination and management, through digital twins. Metaverse provides opportunities to support trip planning, interaction and engagement, effectively transforming consumer behaviour. Visiting and engaging with destinations virtually is expected to motivate real travel, rather than replace it. This paper provides a vision of how Metaverse can revolutionize tourism experiences and transform tourism management and marketing. Drawing on a systematic review of scholarly works, articles from media and industry reports, this study defines and conceptualizes the Metaverse ecosystem for tourism and travel. It explores the foundations of the disruptions that Metaverse brings to tourism destinations and organisations and identifies the building blocks of Metaverse tourism. The study outlines research directions so that the tourism industry can take full advantage of the Metaverse capabilities and opportunities emerging as well as identify challenges for the future.     

Target‐Setting,Pay for Performance,and Quality Improvement: A Case Study of Ontario Hospitals’ Quality‐Improvement Plans

This study examines whether difficult targets and quality indicators in executives' pay‐for‐performance (P4P) plans affect performance. The impact of target‐setting and P4P plans on quality improvement in the public sector is unclear. The Ontario government initiated the Quality Improvement Plan (QIP), which requires hospitals to set targets for quality indicators annually and link executive pay to target achievement since 2011. Analyzing Health Quality Ontario's database and hospitals' 2012–2013 QIPs, this study shows greater quality improvement in hospitals with difficult targets than hospitals with easy targets or without assigned targets; however, the positive impact disappears for high‐performance hospitals relative to their peers. We find no significant effect of the use of quality indicators in executives' P4P plans on quality improvement. Copyright © 2018 ASAC. Published by John Wiley & Sons, Ltd.     

Interpretive structural modeling of quality factors in both medical and hospitality services in the medical tourism industry

This study aims to theoretically integrate quality factors of both medical and hospitality services in medical tourism. Medical tourism comprises both medicine and tourism. Although the core product in medical tourism is medical treatment, attractive hospitality and travel options are also essential. Despite the dual nature of medical tourism, the two aspects of this concept have not been integrated in a unique framework. This study attempts to fill this gap using interpretive structural modeling (ISM). According to ISM, although factors of medical services and hospitality services are independent from each other, these factors have vital impacts on perceived value, satisfaction, and loyalty.     

An Empirical Analysis of Green Experiential Loyalty: A Case Study

The purpose of this study is to elaborate the structural relationships among the experiential quality dimensions, experiential trust, emotional attachment, experiential image, switching experience, experiential satisfaction, and experiential loyalty from the green perspective. The study findings are based on structural equation modeling (SEM) analysis of a convenience sample of 560 customers at one green restaurant in Taipei City, Taiwan. The findings show that investing resources in an increase in the experiential quality dimensions and a decrease in green switching experience is useful to enhance green experiential trust, green emotional attachment, green experiential image, green experiential satisfaction, and green experiential loyalty.     

Differences in perceptions about food delivery apps between single-person and multi-person households

The growth in mobile communications is a significant reason attributed to the O2O commerce explosion in China. Mobile applications have seized this opportunity adapting it to restaurants and food delivery services, recognized as an alternative strategy to increase sales revenue and for consumers to conveniently receive products and services. This study was designed to specifically explore five salient quality attributes representing convenience, design, trustworthiness, price, and various food choices associated with food delivery apps in consideration of their impacts upon user-perceived value, attitudes and intention to continuously use. Results determined that user trustworthiness was the most important quality attribute of the food delivery app business. Additionally, this study found that single-person households placed most importance upon quality attributes for ‘various food choices,’ ‘price’ and ‘trustworthiness.’ Comparatively, multi-person households placed most importance upon ‘design,’ ‘convenience,’ and ‘trustworthiness.’ Managerial implications, limitations and recommendations for future research are provided.     

Relationship Quality as Predictor of B2B Customer Loyalty in the Pharmaceutical Sector: Evidence from Jordan

This article aims to investigate the impactful effect of relationship quality dimensions (i.e., trust, satisfaction, and commitment) on aspects of loyalty represented by attitudinal loyalty and behavioral loyalty. A quantitative survey method was employed to achieve the objectives of the study. Furthermore, a convenience sampling technique was adopted to select a representative sample from physicians working in the public healthcare sector in Jordan. A total of 500 questionnaires were distributed, and 408 questionnaires were used in the statistical analyses. The data were analyzed by applying structural equation modeling to test the study model, and hypotheses were constructed and tested quantitatively and discussed qualitatively. The results revealed that both aspects of customer loyalty (i.e., behavioral and attitudinal) were affected positively by the overall dimensions of relationship quality (i.e., trust, satisfaction, and commitment), providing a recommendation for pharmaceutical companies in Jordan to focus on improving the relationship quality between their medical representatives and physicians due to the importance of such a factor in improving customer loyalty, which will reflect positively in managing their customers effectively and enhancing future business opportunities.     

Use and misuse of information in supply chain forecasting of promotion effects

Demand forecasting is critical to sales and operations planning (S&OP), but the effects of sales promotions can be difficult to forecast. Typically, a baseline statistical forecast is judgmentally adjusted on receipt of information from different departments. However, much of this information either has no predictive value or its value is unknown. Research into base rate discounting has suggested that such information may distract forecasters from the average uplift and reduce accuracy. This has been investigated in situations in which forecasters were able to adjust the statistical forecasts for promotions via a forecasting support system (FSS). In two ecologically valid experiments, forecasters were provided with the mean level of promotion uplift, a baseline statistical forecast, and quantitative and qualitative information. However, the forecasters were distracted from the base rate and misinterpreted the information available to them. These findings have important implications for the design of organizational S&OP processes, and for the implementation of FSSs.     

Information flow between prediction markets,polls and media: Evidence from the 2008 presidential primaries

Are the forecast errors of election-eve polls themselves forecastable? We present evidence from the 2008 Democratic Party nomination race between Barack Obama and Hillary Clinton showing that the answer is yes. Both cross-sectional and time series evidence suggests that market prices contain information about election outcomes that polls taken shortly before the contests do not. Conversely, election surprises relative to polls too Granger cause subsequent price movements. We then investigate whether the additional information in prices could come from the media coverage of these campaigns, and uncover a set of complex relationships between pollster’s surprise, price movements, and various aspects of media coverage. Prices anticipate the balance and content of media coverage, but not the volume. On the other hand, it is the volume of media coverage, not the balance or content, that anticipates the surprise element in election outcomes. Moreover, Granger causality between prices and election surprises barely changes after controlling for media coverage, and causality from media volume to surprises persists too after controlling for price movements. Taken together, the results suggest that both prices and the volume of media coverage contain independent election-relevant information that is not captured in polls.