Managerial and Decision Economics最新文献

In this paper, we extend the differentiated product duopoly model of Singh and Vives (1984) to a setting where the firms are asymmetric in terms of their marginal costs, and the more efficient firm has the option to license its technology to its rival before they engage in price competition, quantity competition, or mixed competition. Our numerical computations reveal that the unique subgame perfect Nash equilibrium of the duopolistic competition game with licensing involves price competition when the products are complements. However, when the products are substitutes, either price or quantity competition can emerge in an equilibrium, depending on the level of cost asymmetry and the degree of substitution. Furthermore, when the products are complements, consumers and the firms benefit from licensing. In contrast, when the products are substitutes, licensing can benefit both consumers and the firms only if the degree of substitution and cost asymmetry are sufficiently low. Our results complement the earlier findings in Niu (2008), where the timing of licensing and contract decisions differs from ours.

An incentive design is an important system to manage the organization in management practice. In the previous management study, several researchers shed light on team performance evaluation under a specific incentive system. In this study, assuming the quantity competition in the product market, we consider the effect of team efforts under a hierarchical team to examine the effect of internal management on a firm's strategy. In particular, we focus on manager-determined share in the internal team under profit sharing as an incentive system because profit sharing can induce players to enhance their efforts. From our analysis, we find that when the manager in the team is more efficient than the staff, the manager shares a large profit with the staff to incentivize the staff's large effort. Our result not only provides the relationship between internal team production and product market competition but also suggests the incentive design of the team.

This paper investigates the optimal cooperation model of a new energy vehicle (NEV) supply chain comprising one NEV manufacturer and one power battery supplier. Considering asymmetric quality information, this paper develops the signaling game and the Stackelberg game to compare three cooperation models: the wholesale model, the joint venture model, and the patent licensing model. The results show that (1) under the wholesale model with asymmetric quality information, the separating equilibrium is a stable dominant equilibrium. The H-type supplier may upwardly distort the wholesale price to separate from the L-type supplier. (2) Compared with the wholesale model, the joint venture model and the patent licensing model may not be better. The choice of the optimal cooperation model is related to the cost of the high-quality power battery, the joint venture share, and the fixed patent licensing fee. (3) The information sharing enables Pareto improvements in the ex-ante profits. Furthermore, government subsidies can stimulate consumption and enhance ex-ante profits, but their effects vary substantially across different cooperation models.

Firms' exploratory technology innovation plays an important role in industrial upgrading, especially in emerging economies. What drives a firm's tendency to exploratory innovation over exploitative innovation? Drawing on the knowledge-based theory, this study empirically investigates the impact of firms' innovation openness on exploratory innovation tendency. Innovation openness reflects the extent to which firms tend to adopt joint innovation strategies in technological innovation, capturing the dependence of firms' technological innovation on outsiders. Based on an unbalanced panel dataset of observations of Chinese A-share listed firms from 2009 to 2021, we employ standard two-way fixed effects regressions to estimate our hypotheses. We find that focal firms' innovation openness significantly promotes the tendency to exploratory innovation. From the perspective of knowledge structure, we further offer a contingent framework by revealing that the positive relationship between firms' innovation openness and exploratory innovation tendency is more prominent in the focal firms with greater knowledge breadth and depth. Our findings contribute to the literature on the antecedents of firms' exploratory innovation tendency by emphasizing the significant role of technological collaboration strategy and its interaction with focal firms' knowledge characteristics.

This paper reports an experimental study examining decision-making biases in the acquiring-a-company (AC) game. We examine investment behavior across 40 rounds of the AC game under conditions of risk and ambiguity. Initial experimental phases reveal participant decisions consistent with ambiguity-seeking behavior: Investors in the ambiguity scenario submit significantly greater prices than those in the risk scenario. For the first 20 rounds of the experiment, we observe radical price adjustments towards the optimal choice in both scenarios; and the price difference between the two scenarios declines as the experiment proceeds. Interestingly, gambler's fallacy has a remarkable influence on investors' dynamic bidding behavior.

This study investigates the impact of Information and Communication Technology (ICT) expenses on employment growth in the Indian manufacturing sector. Using firm-level data from the Centre for Monitoring Indian Economy (CMIE) Prowess, the analysis applies the panel System-Generalized Method of Moments estimator to assess the relationship between ICT expenses and employment growth. The findings indicate a positive association between ICT expenses and employment growth, though the effect varies depending on the firm's technical intensity. Moreover, firm-specific factors such as size, age, ownership structure, and export activity play a significant role in shaping employment growth. This study contributes to the existing literature by emphasizing the differentiated impact of ICT across firms with varying technological intensities. The results highlight the importance of ICT expenses tailored to firm characteristics to maximize employment growth. These insights offer valuable implications for policymakers and industry stakeholders seeking to enhance employment opportunities through digital transformation in the Indian manufacturing sector.

This paper takes the A-share listed companies in China's Shanghai and Shenzhen stock markets from 2014 to 2023 as the sample to study the impact of the exercise of rights by the China Securities Investor Service Center (hereinafter referred to as the “Investor Service Center”) on the quality of corporate internal control information disclosure and its mechanism of action. The study finds that the exercise of rights by the Investor Service Center significantly improves the quality of corporate internal control information disclosure, and this impact is long-term and sustainable. Through the mechanism test of internal and external information governance channels, this paper finds that the exercise of rights by the Investor Service Center promotes enterprises to improve the quality of internal control information disclosure through internal and external information governance methods such as restraining the opportunistic behavior of corporate insiders, enhancing accounting conservatism, and attracting the attention of financial media and investors. In addition, the heterogeneity analysis shows that the effect of the exercise of rights by the Investor Service Center varies significantly depending on the way of exercising rights and the response status of listed companies. The research of this paper provides new empirical evidence for understanding the governance effect of the exercise of rights by the Investor Service Center, and also provides policy implications for improving the investor protection mechanism with Chinese characteristics.

The rapid rise of the Fourth Industrial Revolution (Industry 4.0), driven by integrating technologies such as big data, artificial intelligence, blockchain, and the internet of things into business systems, has significantly enhanced organizations' ability to reconfigure dynamically. This special issue advances academic discussions on how emerging digital technologies enable, support, or drive business elements' innovative (re)configuration across diverse organizational settings, particularly focusing on digitally transformed dynamic networks, including resources, structures, routines, strategies, and processes.