An investigation of skill requirements for business and data analytics positions: A content analysis of job advertisements

Presently, analytics degree programs exhibit a growing trend to meet a strong market demand. To explore the skill sets required for analytics positions, the authors examined a sample of online job postings related to professions such as business analyst (BA), business intelligence analyst (BIA), data analyst (DA), and data scientist (DS) using content analysis. They present a ranked list of relevant skills belonging to specific skills categories for the studied positions. Also, they conducted a pairwise comparison between DA and DS as well as BA and BIA. Overall, the authors observed that decision making, organization, communication, and structured data management are key to all job categories. The analysis shows that technical skills like statistics and programming skills are in most demand for DAs. The analysis is useful for creating clear definitions with respect to required skills for job categories in the business and data analytics domain and for designing course curricula for this domain.     

Promoting Vegetarianism through Moralization and Knowledge Calibration

This research extends the theories of moralization and knowledge calibration to vegetarianism. In two studies involving interviews with vegetarians, and meat-eaters; we investigated consumer attitudes toward vegetarianism. Our text analysis results revealed that emotionally calibrated consumers are ‘moral vegetarians’ who find meat repulsive, and make ethical food choices. In contrast, cognitively calibrated consumers are ‘health vegetarians’ who scan the nutrition information, avoid meat due to health restrictions, and embrace vegetarianism for healthy life. Finally, we provided insights into how faux meat companies can promote their products and transform consumer behavior toward vegetarianism by advertising ethical and environmentally friendly foods, and healthy and anti-obesity foods to moral and health vegetarians, respectively.     

A Decision Model for E-commerce-enabled Partial Market Exit

Struggling retail chains often try to recover profitability by closing some of their stores. The challenge in this strategy lies in determining how many stores to close, as store exit has implications for both the customers and the supply chain. After a store closes, its customers are lost forever to the competition, unless there is a surviving open store nearby or an electronic alternative such as an e-store. From the supply chain perspective, after a store closes, its supporting regional distribution center is left with less business, and thus reduced viability. This paper develops a decision support model to study the profitability of alternative retail network structures by varying the proportion of stores that are closed, the average price sensitivity of demand, the price difference between the online store and the traditional retailers, and customer retention rates.     

A reflection on analytical work in marketing: Three points of consensus

This article presents three points of consensus about game-theoretic work in marketing: First, equilibrium analysis is necessary for studying situations that have strategic interactions. In many cases, empirical examination of these strategic scenarios is difficult or impossible, at least without the guidance of an equilibrium model. Second, more general models are not necessarily ??better,?? because institutional details matter. Thus, the appropriate compromise between generality and specificity depends on the scope of the research question. Finally, there should be a two-way road between theory and empirics??theory is necessary to interpret empirical results, while empirical findings should guide theoretical modeling choices.     

Healthcare resource utilization and costs by age and joint location among osteoarthritis patients in a privately insured population

Aims: To compare healthcare resource utilization and costs between patients aged 18–64 years with osteoarthritis (OA) and matched controls without OA in a privately insured population.

Methods: Patients with OA were selected from de-identified US-based employer claims (Q1:1999–Q3:2011). The index date was defined as the first OA diagnosis indicated by ICD-9-CM codes. One year before and after the index date were defined as the baseline and study periods, respectively. A second OA diagnosis during the study period was also required. Patients with OA were matched one-to-one on age, gender, index date, and minimum length of follow-up to controls without OA. Baseline characteristics and study period resource utilization and costs (2016 USD) were compared between cohorts.

Results: This study identified 199,539 patients with OA (knee: 87,271, hip: 19,953, hand: 15,670, spine: 12,496). The average age was 54 years, and 58% were female. OA patients had higher healthcare resource utilization than matched controls in inpatient, emergency room, and outpatient settings (p?p?Limitations: This sample, obtained using claims data, only includes patients who were actively seeking care for OA and were likely symptomatic. Asymptomatic patients would likely not be captured in this analysis.

Conclusions: Patients with OA incur greater healthcare resource utilization and costs than patients without OA, with substantial variation by joint location.     

Affiliated firms and financial support: Evidence from Indian business groups

We investigate the functioning of internal capital markets in Indian Business Groups. We document that intragroup loans are an important means of transferring cash across group firms and are typically used to support financially weaker firms. Evidence suggests that an important reason for providing support may be to avoid default by a group firm and consequent negative spillovers to the rest of the group. Consistent with such spillovers, the first bankruptcy in a group is followed by significant drops in external financing, investments and profits of other firms in the group and an increase in their bankruptcy probability.     

Shopping Style Segmentation of Consumers

The World Wide Web has rapidly become an alternative means to reach customers and has attracted the attention of many businesses. Unfortunately, however, despite its growth, there is little knowledge of which consumers would be willing to switch to the new format and to what extent. Our paper is aimed at providing some insights into these questions. Specifically, we propose a model to identify segments that differ in their shopping style, i.e., in their preference for which format, or bundle of formats, they like to shop in.Our research question, and model, is similar in spirit to prior research in marketing on how consumers choose assortments. Despite this similarity, our research makes some substantive and methodological contributions to the literature. Substantively, we examine the issue of the choice of channel assortments by consumers across a variety of product categories. We believe this is an important question and one that has not been examined earlier. From a methodological point of view, our model adds to earlier work by specifying the utility of an assortment as a sum of the deterministic and stochastic components of the utilities of its members. This contrasts with previous research where only the deterministic components of the utilities of the component brands of an assortment are added and the relationships between their random components are not accounted for.We calibrate the model on data regarding the format choices of households. In order to control for potentially similar format preferences across purchases of different categories we specify the model to allow for correlation between format preferences over the choice history of each household. Our results suggest that there are four segments of consumers that differ in their preference for different types of formats.     

Cross-section of option returns and volatility

We study the cross-section of stock option returns by sorting stocks on the difference between historical realized volatility and at-the-money implied volatility. We find that a zero-cost trading strategy that is long (short) in the portfolio with a large positive (negative) difference between these two volatility measures produces an economically and statistically significant average monthly return. The results are robust to different market conditions, to stock risks-characteristics, to various industry groupings, to option liquidity characteristics, and are not explained by usual risk factor models.     

Strategic Risk-Taking Propensity: The Role of Ethical Climate and Marketing Output Control

In the wake of the current financial crises triggered by risky mortgage-backed securities, the question of ethics and risk-taking is once again at the front and center for both practitioners and academics. Although risk-taking is considered an integral part of strategic decision-making, sometimes firms could be propelled to take risks driven by reasons other than calculated strategic choices. The authors argue that a firm’s risk-taking propensity is impacted by its ethical climate (egoistic or benevolent) and its emphasis on output control to manage its marketing function. The firm’s long-term orientation is argued to moderate the control–risk propensity relationship. The authors also extend research on risk and performance and argue that the association of risk-taking propensity and firm performance is contingent on the ownership (publicly traded versus privately held) structure of the firm. Based on survey data from a sample of manufacturing industries in the United States, the results show significant impact of ethical climate and marketing output control on a firm’s risk-taking propensity; also risk-taking propensity shows a stronger association with firm performance in privately held firms than in publicly traded firms.