Modelling the dynamics of Bitcoin and Litecoin: GARCH versus stochastic volatility models

We examine and compare a large number of generalized autoregressive conditional heteroskedastic (GARCH) and stochastic volatility (SV) models using series of Bitcoin and Litecoin price returns to assess the model fit for dynamics of these cryptocurrency price returns series. The various models examined include the standard GARCH(1,1) and SV with an AR(1) log-volatility process, as well as more flexible models with jumps, volatility in mean, leverage effects, t-distributed and moving average innovations. We report that the best model for Bitcoin is SV-t while it is GARCH-t for Litecoin. Overall, the t-class of models performs better than other classes for both cryptocurrencies. For Bitcoin, the SV models consistently outperform the GARCH models and the same holds true for Litecoin in most cases. Finally, the comparison of GARCH models with GARCH-GJR models reveals that the leverage effect is not significant for cryptocurrencies, suggesting that these do not behave like stock prices.     

Global marketing of industrial products: Are interpersonal relationships always critical?

The present paper examines the issue of whether interpersonal relationships are critical for global marketing of industrial products. The fields of relationship marketing, IMP group research, sales research, and network theory have stressed the importance of interpersonal relationships in the business-to-business or industrial marketing context. In contrast to this emphasis on interpersonal relationships, we argue that industrial firms can both conceive and enhance marketing strategies based on developing high quality and consistent processes, products, services or outcomes (consistent processes and outcomes). Such strategies are especially important given the fact that developing interpersonal relationships is expensive due to their reliance on frequent and/or face-to-face communications. In this paper, we examine industry and country contexts that lead to the choice of alternative industrial product marketing strategies and highlight some future research directions and managerial implications.     

Consumer Trial,Continuous Use,and Economic Benefits of a Retail Service Innovation: The Case of the Personal Shopping Assistant

Service innovations in retailing have the potential to benefit consumers as well as retailers. This research models key factors associated with the trial and continuous use of a specific self‐service technology (SST), the personal shopping assistant (PSA), and estimates retailer benefits from implementing that innovation. Based on theoretical insights from prior SST studies, diffusion of innovation literature, and the technology acceptance model (TAM), this study develops specific hypotheses and tests them on a sample of 104 actual users of the PSA and 345 nonusers who shopped at the retail store offering the PSA device. Results indicate that factors affecting initial trial are different from those affecting continuous use. More specifically, consumers' trust toward the retailer, novelty seeking, and market mavenism are positively related to trial, while technology anxiety hinders the likelihood of trying the PSA. Perceived ease of use of the device positively impacts continuous use while consumers' need for interaction in shopping environments reduces the likelihood of continuous use. Importantly, there is evidence on retailer benefits from introducing the innovation since consumers using the PSA tend to spend more during each shopping trip. However, given the high costs of technology, the payback period for recovery of investments in innovation depends largely upon continued use of the innovation by consumers. Important implications are provided for retailers considering investments in new in‐store service innovations. Incorporation of technology within physical stores affords opportunities for the retailer to reduce costs, while enhancing service provided to consumers. Therefore, service innovations in retailing have the potential to benefit consumers as well as retailers. This research models key factors associated with the trial and continuous use of a specific SST in the retail context, the PSA, and estimates retailer benefits from implementing that innovation. In so doing, the study contributes to the nascent area of research on SSTs in the retail sector. Based on theoretical insights from prior SST studies, diffusion of innovation literature, and the TAM, this study develops specific hypotheses regarding the (1) antecedent effects of technological anxiety, novelty seeking, market mavenism, and trust in the retailer on trial of the service innovation; (2) the effects of ease of use, perceived waiting time, and need for interaction on continuous use of the innovation; and (3) the effect of use of innovation on consumer spending at the store. The hypotheses were tested on a sample of 104 actual users of the PSA and 345 nonusers who shopped at the retail store offering the PSA device, one of the early adopters of PSA in Germany. Data were analyzed using logistic regression (antecedents of trial), multiple regression (antecedents of continuous use), and propensity score matching (assessing retailer benefits). Results indicate that factors affecting initial trial are different from those affecting continuous use. More specifically, consumers' trust toward the retailer, novelty seeking, and market mavenism are positively related to trial, while technology anxiety hinders the likelihood of trying the PSA. Perceived ease of use of the device positively impacts continuous use, while consumers' need for interaction in shopping environments reduces the likelihood of continuous use. Importantly, there is evidence on retailer benefits from introducing the innovation since consumers using the PSA tend to spend more during each shopping trip. However, given the high costs of technology, the payback period for recovery of investments in innovation depends largely upon continued use of the innovation by consumers. Important implications are provided for retailers considering investments in new in‐store service innovations. The study contributes to the literature through its (1) simultaneous examination of antecedents of trial and continuous usage of a specific SST, (2) the demonstration of economic benefits of SST introduction for the retailer, and (3) contribution to the stream of research on service innovation, as against product innovation.     

The state of research on technological uncertainties, social uncertainties and emerging markets: A multidisciplinary literature review

The objective of this research work is to study the progress of research on technological uncertainties, social uncertainties and emerging markets and outline and identify the key disciplines, journals, articles and authors. For this the author studied the existing literature from the various fields in which technological uncertainties, social uncertainties and emerging markets research work have been published using ISI Web of Knowledge database. The paper finds that there is increasing research work on technological uncertainties, social uncertainties and emerging markets and the bibliographical search resulted in ninety-one documents written by one-hundred-sixty-one authors in eighty-four journals in seventy-two disciplines. The five major disciplines and their underlying journals are business and economics, agriculture, psychology, public administration, and environmental sciences and ecology accounting for majority of publications. In journals the most prolific, measured by number of articles published are Harvard Business Review, Social Science and Medicine, World Development, and Higher Education; and most influential, measured by the global citation received, are Harvard Business Review, Social Science and Medicine and Sociological Review. The top 10% of the journals are responsible for 23% of all publications but 85% of all global citations received. This highlights that despite the high, diverse and increasing number of journals; only few are dominating and shaping the research arena of technological uncertainties, social uncertainties and emerging markets. Further, in the ten most cited articles, no author appears more than once.     

Effects of age, need for cognition, and affective intensity on advertising effectiveness

This paper explores how individual characteristics of age, need for cognition (NFC), and affective intensity (AI) interact with each other and with advertising appeal frames (i.e., rational, positive-emotional, negative-emotional) to influence ad attitudes, involvement, and recall. The mixed design study reveals that younger adults recall emotional messages, especially negative ones, better than rational ones, but recall does not differ for older adults across appeal frames. Older adults prefer rational and positive messages to negative-emotional messages but ad attitudes do not differ among younger adults across appeal frames. Finally, age interacts with AI, but not NFC, to influence ad responsiveness. Both age and AI influence ad attitudes such that older adults exhibit the most positive ad attitudes across all appeal frames.     

Marketing and society: Preface to special section on volunteerism, price assurances, and direct-to-consumer advertising

We discuss the reasons why this call for papers was issued and describe the process of selecting the three articles presented in this special section. We argue that maximizing stakeholder welfare and not just consumption maybe a new goal for marketing that will be consistent with emerging societal trends. Three articles on volunteerism, price assurances, and direct-to-consumer advertising result from our call and are presented in this section. This introduction is an overview of the three articles.     

The impact of strategy communications, incentives and national culture on balanced scorecard implementation

Professionals are challenged daily with difficult decisions. Capital budgeting decisions are one type of difficult decision, especially in firms that embrace a Balanced Scorecard management philosophy. In these firms, the decision maker frequently must choose among multiple options on the basis of multiple criteria with no one option dominating across all criteria. Not only must the decision maker evaluate each option on each criteria, the decision maker also must weigh the relative importance of each criteria when making a final judgment. When faced with difficult decisions, decision makers will resort to various coping behaviors, such as decision avoidance or delay, status quo bias, deferral to others' preferences, or reliance on decision aids. In a Balanced Scorecard environment, one important type of decision aid is the strategy map. The ambiguity introduced by multiple options and multiple criteria also creates a condition in which the subjective biases of the decision-maker can easily manifest in the absence or despite decision aids. Among those potential biases are self-interests and national culture. In this study we examine the effects on capital budgeting decisions of two common types of strategy maps as well as incentive effects and national culture. An objective of Balanced Scorecard management practices is to overcome a common North American fixation on short-term financial outcomes. Recent research submits that an appropriate strategy map will facilitate that end by overcoming certain other cognitive limitations (such as fixation on common metrics). Our inquiry will examine whether biases related to self-interests and national culture persist in the presence of two common strategy maps. A behavioral experiment was conducted in which 140 MBA students from Spain and the U.S. with average work experience of 10 years participated. Findings were that significant fixation on short-term financial outcomes persists in the presence of one common strategy map, but not in the presence of an alternate common strategy map, and that incentive and national culture biases persist in the presence of both. In addition, all three experimental variables exhibited significance and equivalent influence, although prior research has only addressed the influence of incentives.     

High‐Performance Product Management: The Impact of Structure,Process, Competencies,and Role Definition*

Product management is one of the most important functions in marketing. Yet the product management literature has focused largely on creating successful products and has relatively little to say about creating effective product management organizations. This paper focuses on the organizational determinants of high‐performance product management at three levels: (1) the product manager as an individual; (2) the marketing processes related to product management; and (3) the organization structure and role definition. The paper identifies several key factors that potentially impact product management performance. A set of qualitative interviews is conducted to develop hypotheses related to constructs that may drive product management performance. These hypotheses are used to develop a causal model for product management performance that includes constructs related to roles and responsibilities, organization structure, and marketing processes related to product management. An empirical survey of 198 product managers from a variety of industries is conducted to test the causal model. The results of the causal model suggest that performance of a product management organization is driven by structural barriers in the organization, the quality of marketing processes, roles and responsibilities, and knowledge and competencies. The findings suggest that structural boundaries and interfaces are the biggest impediment to effective product management, followed by clarity of roles and responsibilities. The research highlights the importance of organization structure and effective human resource practices in improving product management performance.     

The impact of cognitive age on Internet use of the elderly: an introduction to the public policy implications

Despite the growth of the Internet, one area that has not really been discussed is the elderly's use of the Internet. Given the rapid growth of this population as well as the potential the Internet holds for them, it is a subject worth consideration. However, seniors cannot be defined simply by their chronological age, but by their cognitive age. This paper discusses the impact of cognitive age of a national random sample of American elderly consumers on their Internet use. The results suggest that those seniors with a younger cognitive age use the Internet more than those seniors with an older cognitive age. Additionally, seniors with a younger cognitive age have more social contact off‐line (but not online) than those seniors with an older cognitive age. Finally, in terms of demographic variables, chronological age is positively associated with cognitive age and women report a younger cognitive age than men. These results suggest that for policy makers interested in increasing the participation of seniors, they can utilize the Internet to reach those who are younger in terms of cognitive age; however, they will not be able to reach all seniors in this manner and they need to utilize the Internet as a complementing media to their traditional communication sources.