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The aim of this paper is to explore the managing of cost drivers using a business model (BM) design. Particularly, the paper explores the link between a BM and cost driver analysis adopting a service-dominant logic (SDL) perspective. The empirical domain addresses the dynamic and complex scenarios of electric cars, where many actors are involved, several marketing and technological aspects are still unclear and where the high cost of batteries delays the wide diffusion of electric vehicles. The paper explores how SDL could support the BM design and how the cost driver analysis and BM design are linked when the SDL perspective is adopted.

This paper analyses secondary data and findings collected by interviews performed with managers belonging to the automotive sector.

The results show that the BM design could be a solution to address cost problems and the cost driver analysis may play a role in formulating an economically sustainable BM. Splitting a product into a “package of services” can provide direction for research of an alternative BM design in an attempt to manage the impact of cost drivers and pursue economic sustainability.

This paper explores a topic that has not yet focused on cost management research, i.e. the link between BM and cost driver analysis adopting an SDL perspective.

This paper aims to focus on the development of a vision for the Lake Constance region, Germany, as an e-destination, i.e. a destination where tourism mobility would be predominantly electric in the future.

This paper uses a scenario analysis based on factor analysis in addition to empirical data collected in 2016 and 2017 based on surveys and interviews with tourists and stakeholders.

The scenarios contain the optimistic, pessimistic and realistic models, including one scenario called e-destination, i.e. a projection of the future where tourism mobility consists predominantly of electro-mobility (e-mobility). This specific scenario is supported by the results of the empirical data.

As the study focusses on e-mobility only, it leaves out other forms of mobility e.g. pedestrian or cycling mobility that also contribute to CO₂ reduction. The sampling methods are not strictly randomised, but the tendencies they show are clear and supporting each other.

According to the tourists and stakeholders interviewed, it is quite likely that the region will become an e-destination in the future, but only with government support.

The attitude-behaviour-gap was discussed as a possible explanation of tourists’ behaviour in the study.

Studies on e-mobility in tourism are rare. (As far as the author knows) this paper presents the first analysis of the future of e-mobility in tourism using a German lake as a destination. Thus, it adds to the existing body of knowledge different possible projections of the future regarding e-mobility in a tourism destination.

This paper aims to explore surprising facets of consumer delight behavior. The study is the empirical juncture of three studies based on consumer survey on the Indian television market. Study 1 traces the existence of greenies in India among brownies prevailing around the globe by using the surprise-delight model. Study 2 is a pre-intervention research design confirming greenies preferences to television attributes such as screen technology, annual energy cost saving, screen resolution, screen size and free gifts. Study 3 signifies a price intervention design by allowing customers to include their preference by replacing the annual energy cost saving with price.

This paper is a harvest of studies based on discriminant analysis for identifying green and brown customers and a two-level conjoint analysis for identifying attributes contributing to green behavior.

The empirical generalization of a study comes out with unique findings of the greenies and brownies and their preference and attitude toward green attribution and substitution. A “preferential green shift” appeared as a vital output owing to knowledge–attitude–practice from these consecutive studies. This gap exists because of the price factor. The authors suggest the measures for improvement in product offering by targeting and positioning green products from the findings and the preferential green shift.

Future research may focus on other segments of products such as automobiles, i.e. cars. Despite the availability of the non-probabilistic sampling technique, the probabilistic sampling technique can be used. Finally, a larger sample size could have given a better generalization of results.

The gap in knowledge–attitude–practice was evident. This gap was caused by the presence of “price” concern. The study revealed that heavy consumer durable buyers are aware of the benefit of green, but the reality of price cannot be ignored and finally make a purchasing decision on the basis of price criteria. Hence price is recommended as another criterion to be considered in the technology acceptance models.

By examining the impact of product innovation on abnormal financial returns following the launch of new products, this study aims to test the explanatory power of a new compound measure of product innovativeness (Ganbaatar and Douglas, 2019).

It is a longitudinal study in which the authors used the compound product innovativeness score (CPIS) for the first time to measure product innovativeness. The abnormal financial returns are estimated through the event study design, where four different models are used. Artificial neural network analysis is done to determine the impact of the CPIS on abnormal returns by utilising a hexic polynomial regression model.

The authors find effect sizes that substantially exceed practically significant levels and that the CPIS explain 65% of the variance in the firm’s abnormal returns in market valuation. Moreover, new-to-the-market novelty predicts 83% of the variation, while new-to-the-firm (catch-up) innovation insignificantly impacts firm value.

This paper demonstrates how the CPIS, an objective and direct measure of product innovativeness, can be used to gain more insight into the innovation effect.

Implications for the business practice of this study include the necessity of relentless innovation by firms in contested differentiated markets, particularly where technological advance is ongoing. Larger and mature firms must practice corporate entrepreneurship to renew their products on a continuous basis to avoid slipping backwards in their markets. Innovation leadership, rather than following the leader, is also important to increase competitive advantage, given the result that innovation followship does not produce abnormal financial returns.

In this study, the authors focused on the effect of product innovativeness on firm performance. While the literature affirms a positive relationship between innovation and firm performance, the effect size of this relationship varies, due largely to the authors contend to simplistic measures of innovativeness. In this study, the authors adopt the relatively novel “compound” measure of product innovativeness (Ganbaatar and Douglas, 2019) to better encapsulate the nuances of both technical novelty and market novelty. This measure of product innovativeness is applicable to firms of all sizes but is more easily applied to entrepreneurial new ventures and SMEs, and it avoids the shortcomings of prior firm-level and subjective measures of innovativeness for both smaller and larger firms. Using a more effective analytical method (Artificial Neural Network), the authors investigated whether there is a “practically” significant effect size due to product innovation, which could be valuable for entrepreneurs in practice. The authors show that the CPIS measure can very effectively explain abnormalities in the stock market, exhibiting a moderate effect size and explaining 65% of the variation in abnormal returns.

The purpose of this study is to examines whether clients’ share prices responded to three events, including the Securities and Exchange Commission (SEC) launch of administrative proceedings against five Chinese accounting firms on December 3, 2012, for their failure to hand over audit work papers due to conflict of jurisdiction; the issuance of SEC Administrative Law Judge Elliot’s ruling on January 22, 2014; and the settlement of the administrative proceedings on February 6, 2015.

This study uses the Schipper and Thompson approach.

It is found that share prices responded negatively around December 3, 2012, for USA-listed Chinese companies who were audited by Chinese auditors.

This study provides evidence on how share prices reacted to SEC enforcement actions against an affair of non-audit failure.

Analyst forecasts made approximately nine months prior to the end of year t are used as surrogates for market expectations of earnings and dividends of year t. A popular mathematical expectations model is also used for comparison. Using the two factor asset pricing models to predict market betas, and to estimate abnormal security returns, cumulative average residuals are computed and partitioned on the sign of the two dividend information variables indicated in the preceding paragraph. The results were consistent with those of Watts and Gonedes in that no significant dividend information was detected.

Target markets of new product brands (niche customers) differ from those of existing product brands (mainstream customers) using conventional new product brand development strategy. The purpose of this paper is to contend that acculturation in the form of cultural pluralism exists in the marketplace and substantiates that contention through an investigation of consumer behavior outcomes resulting from the development of new product brands that target both mainstream and niche consumers through product brand crossover, an alternative product brand development strategy that leverages on cultural pluralism.

A between-subjects experiment was conducted to test whether consumers differ in their behavioral intentions toward existing and new product brands developed through product brand crossover. The experiments include marketing situations of matching and mismatching product brands and marketing communications in the form of marketing messages and advertising images.

The results show that consumers – in general and in segmented groups – do not differ in behavioral intentions toward existing and new product brands as a result of product brand crossover. Matching and mismatching product brands and marketing communications in the form of marketing messages and advertising images do not produce significant effects on behavioral intentions.

This paper offers fresh evidence showing that acculturation in the form of cultural pluralism exists in the marketplace and introduces a new concept in the form of product brand crossover that acknowledges and leverages on cultural pluralism as an alternative approach for new product brand development.

The purpose of this paper is to propose a concept of cloud auction robot (CAR) and its execution platform for transforming perishable food supply chain management. A new paradigm of goods-to-person auction execution model is proposed based on CARs. This paradigm can shift the management of traditional manual working to automated execution with great space and time saving. A scalable CAR-enabled execution system (CARES) is presented to manage logistics workflows, tasks and behavior of CAR-Agents in handling the real-time events and associated data.

An Internet of Things enabled auction environment is designed. The robot is used to pick up and deliver the auction products and commends are given to the robot in real-time. CARES architecture is proposed while integrating three core services from auction workflow management, auction task management, to auction execution control. A system prototype was developed to show its execution through physical emulations and experiments.

The CARES could well schedule the tasks for each robot to minimize their waiting time. The total execution time is reduced by 33 percent on average. Space utilization for each auction studio is improved by about 50 percent per day.

The CAR-enabled execution model and system is simulated and verified in a ubiquitous auction environment so as to upgrade the perishable food supply chain management into a new level which is automated and real-time. The proposed system is flexible to cope with different auction scenarios, such as different auction mechanisms and processes, with high reconfigurability and scalability.

Despite the well-established impact of consumer ethnocentrism (CET) on purchase intentions, extant literature offers limited evidence on actual purchase behaviour. The purpose of this paper is to address the gap by investigating the factors underlying variations in CET behaviour using reported brand purchases. Product category, product cost and visibility, brand and country of origin (COO) of purchased products are investigated for their impact on the differences in the behavioural effects of CET.

This study uses survey data collected in the USA from a sample of 468 consumers. Self-reported brand purchases are used and involve ten product categories, 432 brands, and 22 countries of origin. Logistic regressions for repeated measures are used to test the hypotheses formulated.

The results confirm that product category is an important determinant of the behavioural effects of CET. CET also has a significant impact on purchases of the most expensive product categories rather than frequently purchased convenient items. Contrary to existing empirical evidence, cultural similarity does not mitigate the negative effects of CET and product visibility does not strengthen the behavioural effect of CET.

The study results should enhance managers’ understanding of the determinants of ethnocentric behaviour. The results caution managers about the value of self-reported measures and indicate that product features other than COO may be more effective in mitigating the negative effects of CET.

This study contributes to extant literature on CET and COO by investigating, for the first time, the problem of inconsistent predictions of purchase behaviour in the context of foreign vs domestic brands. For this purpose, the study adopted a novel methodological approach to investigate actual brand purchases.

This paper posits, develops and tests the effects of general environmental awareness factors on consumers’ intentions in the Environmental Awareness Purchasing Intention Model. Environmental awareness is tested within the context of purchasing vehicles and, thus, vehicle relevant factors (perceived quality and self-image) are also included. Further, the purpose of this paper is to explain the relative contribution of general environmental awareness factors on purchasing intentions compared to quality and self-image.

The main thrust of the research involved a survey of 248 young automobile buyers from a large public university in Texas, USA. The data were analyzed using both multiple regression and partial least square-structural equation modeling (PLS-SEM).

Environmental attitude has a positive impact on purchasing intention, while perceived control toward environmentally responsible behavior has a negative impact. Results also show a positive impact of quality and self-image on intention to purchase environmentally friendly cars. Furthermore, the results reveal that environmental awareness factors explain less variance than perceived quality. At the same time, the results show that environmental factors, relatively, explain more variance in the decision-making process than self-image.

This is the first study to examine the relationship between general environmental awareness and the intention to purchase an environmentally friendly car. This study contributes to sustainable consumption literature in operations management. The paper also provides insights for developing managerial guidelines for car manufacturers based on the understanding of factors influencing environmentally friendly car purchasing intentions.