An Empirical Investigation into the Perception of Vehicle Source Effects

Advertising managers, educators and regulators alike have observed the growth of federal programs mandating the form or content of consumer information disclosures. Although this activity often has been warranted, at times these programs may have had unintended “deceptive” effects. Examples might include the USDA's food grading systems, some of the FTC's corrective advertising activities and certain programs of affirmative disclosure of product information (e.g, gasoline octane ratings and the cigarette health warning). To avoid these problems one must give attention to principles learned from communication and attitude research. Further, such programs will benefit greatly from before-after impact evaluation studies to insure that results correspond with objectives.     

‘Gone to Gowings’ - An Analysis of Success Factors in Retail Longevity: Gowings of Sydney

Low productivity within service industries has been a major concern, but this situation is unlikely to improve without a general change in the way productivity is measured and managed. This paper aims to illustrate the value of stepwise data envelopment analysis (DEA) for measuring and benchmarking productivity. The issues and problems regarding productivity measurement as well as the advantages of using DEA in productivity measurement are analysed. The article extends current DEA applications by developing a stepwise approach to DEA. The latter technique combines correlation and DEA analysis for developing robust models and sound productivity measurement. The advantages of the proposed methodology are illustrated by applying it to a dataset of three-star hotels in the UK. Six inputs and three outputs are identified as the factors affecting rooms division efficiency in three star hotels.     

A de-biased direct question approach to measuring consumers' willingness to pay

Knowledge of consumers' willingness to pay (WTP) is a prerequisite to profitable price-setting. To gauge consumers' WTP, practitioners often rely on a direct single question approach in which consumers are asked to explicitly state their WTP for a product. Despite its popularity among practitioners, this approach has been found to suffer from hypothetical bias. In this paper, we propose a rigorous method that improves the accuracy of the direct single question approach. Specifically, we systematically assess the hypothetical biases associated with the direct single question approach and explore ways to de-bias it. Our results show that by using the de-biasing procedures we propose, we can generate a de-biased direct single question approach that is accurate enough to be useful for managerial decision-making. We validate this approach with two studies in this paper.     

Valuation uncertainty,home and host market uncertainty,and cross-border seasoned equity offerings

This study examines how market timing can affect host market reaction to cross-border seasoned equity offerings (SEOs), an event generally viewed unfavorably by investors. We assume that firms engage in market timing in response to valuation uncertainty (VU), home market uncertainty (HMU) and/or host market uncertainty (HSU), and that raising capital abroad faces higher scrutiny costs and familiarity bias from host market investors. We conjecture that timing strategies provide signals that vary in strength to host market investors and that dual-timing strategies may strengthen an existing signal. Our hypotheses are tested on a sample of 190 cross-border SEOs that were issued on the U.S. stock market between 1990 and 2017 by firms from 29 countries. Using event study methodology, we find that market timing based on VU is negatively related to host market valuation and that a dual-timing strategy with HMU or HSU generally produces a stronger signal. Our results have practical relevance for stock markets that suffer from high uncertainty; we estimate that a high VU firm with a $1 billion valuation suffers a drop of $31.3 million in market valuation during a high host market uncertainty (high HSU) compared with low host market uncertainty (low HSU).     

Explaining regional variation in business births and deaths: U.S. 1976–88

Linear models are developed to determine the relative impact of 15 start-up processes on the annual regional birth rate of new business organizations for all industry sectors in the U.S. over 6 two-year periods. These stable linear models explained from 50–70|X% of the variation in regional firm birth and death rates up to 16 years into the future. Start-up processes that have the most impact involve regional economic diversity; population growth; greater personal wealth; presence of mid-career adults; low unemployment; and greater flexibility in employment relationships. There was a complete absence of any impact of regional variation associated with higher densities of customers, suppliers, workers, R&;D resources; costs of production; or access to national transportation facilities.     

Tracking the U.S. health sector: the impact of the COVID-19 pandemic

Business Economics - Health spending has grown faster than the U.S. economy for decades and currently represents approximately 18% of gross domestic product. As with other sectors of the economy,...     

Completion deadlines,adaptive learning assignments,and student performance

The authors examine effects on student performance, from applying different deadline strategies to online assignments in face-to-face principles of macroeconomics courses. Students in one section were required to complete weekly adaptive learning assignments. Students in the second section were required to complete the adaptive assignments only before each of the three exams administered in the course, thereby giving students more control over when to complete them. The findings show that the presence of rigid deadlines detracted from student participation with the adaptive learning assignments. However, the assignments contributed positively to performance in the traditional assessment categories of homework and exams.     

Financial knowledge among Iranian investors

This research is the first to describe financial knowledge in the Islamic Republic of Iran. Data were collected from a convenience sample of investors in the Tehran Stock Exchange. The data were used to examine objective and subjective knowledge as well as overconfidence in one's financial knowledge. The results indicated that compared with other populations, Iranians did not perform well on either basic or advanced financial knowledge questions, especially when the questions dealt with interest rates. This is likely related to the Islamic law ban on usury‐based investing. Regression analysis indicated that demographic charactristics related to basic financial knowledge were income, labour force status and being a student. Demographic characteristics related to advanced financial knowledge were education, labour force status and age. Higher income and education reduced the odds of being overconfident about one's financial knowledge, while being a student and male increased the odds. The article concludes with recommendations about future research as well as building a national financial education strategy.     

Strategic Purity and Efficiency in the Motor Carrier Industry: A Multiyear Panel Investigation

Two questions facing motor carrier managers are (1) whether carriers should specialize in providing full truckload (TL) or less‐than‐truckload (LTL) services vis‐à‐vis offering mix of both and (2) whether this decision is contingent on carrier size. Yet, the literature provides little guidance because research to date has offered contradictory theoretical predictions and inconsistent empirical findings. Drawing on the theory of strategic purity and information processing theory, we explain why service specialization is likely to increase carriers' technical efficiency and why size will have a more pronounced effect on technical efficiency for carriers specializing in LTL services versus TL services. To test our theory, we assemble a panel data set from archival government sources regarding general freight motor carriers' provision of LTL and TL services. We measure carriers' technical efficiency using data envelopment analysis and test our hypotheses by fitting a series of panel data mixed‐effects models. Our results indicate that carriers are most technically efficient when they specialize in one service type. We also find that size positively affects technical efficiency but only for carriers specializing in LTL services; no returns to scale with regard to technical efficiency exist for carriers specializing in TL services.     

Siri,Alexa, and other digital assistants: a study of customer satisfaction with artificial intelligence applications

ABSTRACT

Digital assistants (e.g., Apple’s Siri, Amazon’s Alexa, Google’s Google Assistant) are highly complex and advanced artificial intelligence (AI) based technologies. Individuals can use digital assistants to perform basic personal tasks as well as for more advanced capabilities. Yet, the functional and topical use of a digital assistant tends to vary by individual. This study reflects the contextual experiences of the respondents. At present, there is little empirical evidence of customer satisfaction with digital assistants. PLS-SEM was used to analyse 244 survey responses to examine this research gap. The results confirmed that expectations and confirmation of expectations have a positive and significant relationship on customer satisfaction with digital assistants. This study provides evidence that customer expectations are being satisfied through the digital assistant interaction experience. As firms integrate digital assistants into their operations, they must help customers properly define what to expect from the firm’s interactive experience.