Avoiding digitalization traps: Tools for top managers

Digital transformation is fundamentally changing the business landscape. It is also affecting the roles of top managers within firms. Our survey of more than 160 senior managers in Europe suggests that digitalization, rather than encouraging more decentralized forms of management, will lead to an expanded role for headquarters and further empowerment of top managers. While acknowledging the benefits of the digital transformation, in this Executive Digest we identify five key challenges for newly empowered top managers and offer solutions for these digitalization traps.     

The role of affinity and animosity on solidarity with Ukraine and hospitality outcomes

The tourism and hospitality industry has had to make some hard decisions during the year 2022. Many major hotel chains have had to decide whether to stay or pull out of Russia, and which policies to implement toward individual Russian guests at their hotels outside of Russia. This study investigates solidarity as an important factor to understanding the conflict and its ramifications for the hospitality industry. The authors explore whether solidarity with Ukraine is driven by affinity toward Ukraine, or by animosity toward Russia. Further, the study demonstrates that place solidarity impacts two specific outcomes in the hospitality industry. The paper concludes by outlining implications for scholars and practitioners.     

Response to Vuori and Vuori's commentary on “Heuristics in the strategy context”

We recently introduced a research program on how firms can effectively capture fleeting opportunities using heuristics. Heuristics, we advocate, are the essence of strategy, especially in unpredictable markets where opportunities are often numerous, fast moving, and uncertain. Our emphasis on heuristics invites comparison with prominent research programs in cognitive psychology. We address this opportunity by comparing our “simple rules” heuristics approach with “heuristics‐and‐biases” and “fast‐and‐frugal” heuristics research. Collectively, the three approaches offer a rich understanding of heuristics. Copyright © 2014 John Wiley & Sons, Ltd.     

Theory-Driven Choice Models

We explore issues in theory-driven choice modeling by focusing on partial-equilibrium models of dynamic structural demand with forward-looking decision-makers, full equilibrium models that integrate the supply side, integration of bounded rationality in dynamic structural models of choice and public policy implications of these models.     

Coveted or Overlooked? The Psychology of Bidding for Comparable Listings in Digital Auctions

This article elaborates on, and provides evidence of the herd behavior bias -- the tendency to gravitate toward, and bid for, auction listings with one or more existing bids, ignoring comparable or even more attractive unbid-for listings available at the same time -- exhibited by buyers in digital auctions. Some listings attract many bidders and become coveted, the center of bidding attention, while other equivalent or even superior listings are overlooked, receiving no bids at all. Empirical analysis using data from digital auctions across different product categories shows that this herd behavior bias is attenuated with increasing bid price, but increases with the difficulty of evaluating quality. The practical implications of these findings, and promising research opportunities in this area are also discussed.     

Smoking hot portfolios? Trading behavior,investment biases,and self-control failure

Self-control is a personality trait that explains undersaving and nonparticipation decisions. We show that self-control failure also affects trading behavior among individuals on capital markets. We use smoking as the most socially accepted example of self-control failure among 13,644 German brokerage clients and compare the trading behavior of 3,553 smokers and 10,091 nonsmokers. Smokers are associated with a higher portfolio turnover unexplained by financial sophistication or wealth effects. Self-control failure also exacerbates overconfidence, social contagion, sensation seeking, and attention grabbing. Overall, self-control failure is costly because it increases the gap between gross and net returns of smokers relative to nonsmokers.     

Small seeds for grand challenges—Exploring disregarded seeds of change in a foresight process for RTI policy

The recent turn in research, technology and innovation (RTI) policy towards challenge-led strategies is posing new demands to Foresight methodology. RTI Foresight practitioners need to complement their well developed set of technology oriented methods with equally sophisticated approaches tackling societal aspects of innovation. In this paper we aim to make a contribution to this requirement. Building on user innovation theory we argue that demand oriented RTI Foresight needs to systematically integrate voices and hypotheses from the fringes of the innovation system. In order to develop a sound approach for this we set out from well established Foresight theory on “weak signals” and “cognitive biases”. Adopting a constructivist stance towards such signals leads us to the need to set up a socially robust, diverse discourse on “seeds of change hypotheses”. We then outline a practical implementation of such a discourse in the context of the recent Foresight process of the Federal Ministry of Education and Research (BMBF) in Germany. We describe and discuss the experience of this Foresight process and suggest avenues for further development of the approach.     

Market overreaction and investment strategies

We investigated the overreaction of the Korean market in response to shocks in the US stock market, and analysed the dynamic relationship between these two markets since 1996. We found that the KOSPI 200 index futures overreacted to the S&P 500 index returns during the period from 2000 to 2009 when the Korean market was in its growth stage. As the Korean market matured and the KOSPI 200 overnight futures were introduced in 2009, the overreaction disappeared. When investors employed the Kelly model or Value-at-Risk to exploit the overreaction, their trading strategies produced significant profits during the growth stage even after considering transaction costs and risk, but the profits attenuated once the overnight futures market was launched in 2009.     

Excessive Volatility is Also a Feature of Individual Level Forecasts

The excessive volatility of prices in financial markets is one of the most pressing puzzles in social science. It has led many to question economic theory, which attributes beneficial effects to markets in the allocation of risks and the aggregation of information. In exploring its causes, we investigated to what extent excessive volatility can be observed at the individual level. Economists claim that securities prices are forecasts of future outcomes. Here, we report on a simple experiment in which participants were rewarded to make the most accurate possible forecast of a canonical financial time series. We discovered excessive volatility in individual-level forecasts, paralleling the finding at the market level. Assuming that participants updated their beliefs based on reinforcement learning, we show that excess volatility emerged because of a combination of three factors. First, we found that submitted forecasts were noisy perturbations of participants’ revealed beliefs. Second, beliefs were updated using a prediction error based on submitted forecast rather than revealed past beliefs. Third, in updating beliefs, participants maladaptively decreased learning speed with prediction risk. Our results reveal formerly undocumented features in individual-level forecasting that may be critical to understand the inherent instability of financial markets and inform regulatory policy.     

The default heuristic in strategic decision making: When is it optimal to choose the default without investing in information search?

Many studies have shown that decision makers have a tendency to choose the default or standard action among several possible actions. The article develops a model to explore under what conditions it is optimal for a firm facing a strategic decision problem to choose the default action without investing in obtaining more information that allows a more accurate decision. The model shows that the strategy to follow the default without additional information (“the default heuristic”) is more likely to be optimal when the cost of obtaining information is higher, and when the variation in possible outcomes is lower. The model also analyzes the optimal level of information search, showing that if the firm chooses to obtain information at all, it will invest in more accurate information when the cost of obtaining information is lower and when the variation in possible outcomes is lower.