Business models and their relationship with marketing: A systematic literature review

The purpose of this paper is to identify the degree to which the marketing discipline has hitherto engaged with business model literature. The results of a systematic review of business model literature are presented and utilise both the citation counts and the h-index to objectively demonstrate the limited engagement that the marketing discipline has had with business model literature, and the limited degree that the discipline has influenced that literature. The key findings reveal a growing, but formative body of literature that, hitherto, has been dominated by non-marketing disciplines and which has only just begun to be addressed by present day marketing scholars. Using the most influential articles identified in the analysis, the paper concludes with a case for the empirical development of the business model concept with industrial marketing scholarship. Such development is argued to be grounded in the potential of open business models, co-created with multiple stakeholders in a supply chain and the end users of a value proposition.     

Perceptions of the ethicality of favors at work in Asia: An 11-society assessment

We explore macro-level factors that shape perceptions of the ethicality of favors in Asian workplaces using the subordinate influence ethics (SIE) measure. We also expand and use the crossvergence model to examine the cross-level relationship between socio-cultural (i.e., traditional/secular; survival/self-expression; in-group favoritism) and business ideology influences (i.e., human development level, control of corruption) on perceptions of favor-seeking at work. This study examines the perceptions of a total of 4,325 managers and professionals in a diverse set of 11 Asian societies: China, Hong Kong, India, Indonesia, Malaysia, Pakistan, Singapore, South Korea, Taiwan, Thailand, and Vietnam. Our investigation focuses on both the “softer” (image management) and “harder” (self-serving) sides of subordinate influence attempts to seek favors, as well as the degree of ethical differentiation across these societies. Key results based on hierarchical linear modeling (HLM) suggest that both the World Value Survey’s socio-cultural values as well as in-group favoritism contribute to our understanding of influence behaviors in Asia. Likewise, level of human development and control of corruption also appear to be promising predictors of influence ethics. In sum, our results suggest that widening the scope of the crossvergence conceptualization of socio-cultural and business ideology influences engender a better understanding of differences in attitudes toward subordinate use of favoritism across Asian societies.     

Alternative work arrangements and perceived career success: Current evidence from the big four firms in the US

This study examines the influences of alternative work arrangements (AWAs), subordinate gender, and supervisor attitudes and beliefs regarding AWAs on performance evaluation judgments in public accounting. One hundred and forty-two experienced professionals from two US Big Four firms evaluated a hypothetical subordinate’s performance in an experimental setting. Results indicated that subordinate gender and AWA participation were significantly related to supervisors’ perceptions of the subordinate’s career success. We also found that individual differences in supervisors’ attitudes and beliefs regarding AWAs were systematically related to their performance evaluation judgments, and indicate that cultural support for AWAs is not uniform among experienced Big Four professionals. Further, the association between these attitudes and beliefs and performance evaluation judgments are consistent with an organizational justice interpretation of AWA use. Implications of these results for the Big Four’s work-life balance initiatives in the US are discussed.     

Basket trading under co-integration with the logistic mixture autoregressive model

In this paper, we propose a co-integration model with a logistic mixture auto-regressive equilibrium error (co-integrated LMAR), in which the equilibrium relationship among cumulative returns of different financial assets is modelled by a logistic mixture autoregressive time series model. The traditional autoregression (AR) based unit root test (ADF test), used in testing co-integration, cannot give a sound explanation when a time series passes the ADF test. However, its largest root in the AR polynomial is extremely close to, but less than, one, which is most likely the result of a mixture of random-walk and mean-reverting processes in the time series data. With this background, we put an LMAR model into the co-integration framework to identify baskets that have a large spread but are still well co-integrated. A sufficient condition for the stationarity of the LMAR model is given and proved using a Markovian approach. A two-step estimating procedure, combining least-squares estimation and the Expectation-Maximization (EM) algorithm, is given. The Bayesian information criterion (BIC) is used in model selection. The co-integrated LMAR model is applied to basket trading, which is a widely used tool for arbitrage. We use simulation to assess the model in basket trading strategies with the statistical arbitrage feature in equity markets. Data from several sectors of the Hong Kong Hang Seng Index are used in a simulation study on basket trading. Empirical results show that a portfolio using the co-integrated LMAR model has a higher return than portfolios selected by traditional methods. Although the volatility in the return increases, the Sharpe ratio also increases in most cases. This risk–return profile can be explained by the shorter converging period in the co-integrated LMAR model and the larger volatility in the ‘mean-reverting’ regime.     

Microstructure-based manipulation: Strategic behavior and performance of spoofing traders

We examine how investors strategically spoof the stock market by placing orders with little chance of being executed, but which mislead other traders into thinking there is an imbalance in the order book. Using the complete intraday order and trade data of the Korea Exchange (KRX) in a custom data set identifying individual accounts, we find that investors strategically placed spoofing orders which, given the KRX's order-disclosure rule at the time, created the impression of a substantial order book imbalance, with the intent to manipulate subsequent prices. This manipulation, which made use of specific features of the market microstructure, differs from previously studied forms of manipulation based on information or transactions. Roughly half of the spoofing orders were placed in conjunction with day trading. Stocks targeted for manipulation had higher return volatility, lower market capitalization, lower price level, and lower managerial transparency. We also find that spoofing traders achieved substantial extra profits. The frequency of spoofing orders decreased drastically after the KRX altered its order-disclosure rule.     

More preventive care, and fewer emergency room visits and prescription drugs--health care utilization in a consumer-driven health plan

Although consumer-driven health plans (CDHPs) have grown dramatically, the question of whether CDHPs have reduced health care costs has not been answered definitively. This article presents what the authors believe to be the first study to analyze a large sample of claims data and to look in detail at different types of utilization among enrollees in a CDHP and those in a traditional comprehensive major medical (CMM) plan. After adjusting for the finding that CDHP enrollees are both younger and healthier than those in CMM plans, the authors found that CDHP enrollees show no consistent or significant utilization differences for measures over which consumers have little control (e.g., inpatient stays); lower utilization for measures over which consumers have greater control (e.g., emergency room visits); and higher utilization of preventive services.     

Valuing executive stock options: performance hurdles, early exercise and stochastic volatility

Accounting standards require companies to assess the fair value of any stock options granted to executives and employees. We develop a model for accurately valuing executive and employee stock options, focusing on performance hurdles, early exercise and uncertain volatility. We apply the model in two case studies and show that properly computed fair values can be significantly lower than traditional Black–Scholes values. We then explore the implications for pay-for-performance sensitivity and the design of effective share-based incentive schemes. We find that performance hurdles can require a much greater fraction of total compensation to be a fixed salary, if pre-existing incentive levels are to be maintained.     

Earnings and Equity Valuation in the Biotech Industry: Theory and Evidence

We examine how the price-earnings relation varies with the uncertainty about and the quality of a firm's investments. We develop a real option valuation framework to capture investment and abandonment options in the research-intensive biotechnology industry. We hypothesize that the price-earnings relation will be V-shaped and change over the firm 's life cycle. We also show how nonfinancial information affects the pricing of earnings. Our empirical findings are based on a sample of 301 biotechnology firms that made IPOs between 1980 and 2000, and are generally consistent with our predictions.     

Factors contributing to business actions in response to climate change in Korea

Climate change is a growing problem and has been highlighted as a global issue. Empirical evidence increasingly indicates its obvious potential risks to humans and society. As members of this society, business organizations face greatly diverse climate change-related risks that they must recognize and respond to. However, gaps exist between scientific evidence and the actions of business organizations. Few empirical studies have examined the business organizations’ actions taken in response to climate change in Korea. This paper addresses this critical gap in the climate change literature by examining business organizations’ behaviors and identifying the factors influencing their actions. We employ statistical models to compare corporate climate change actions, and we explain their variations using survey data. The results indicate that despite increasing concerns about climate change, businesses have implemented very limited precautionary mitigation and adaptation actions. In addition, the concerns of the businesses about future climate change impact, organizational capacity (leadership, staff capacity, existence of a relevant division or department), and business size are significant factors with respect to the implementation of climate change actions.