Anran Chen, Steven Haberman and Stephen Thomas
Although it has been proved theoretically that annuities can provide optimal consumption during one’s retirement period, retirees’ reluctance to purchase annuities is a…
Abstract
Purpose
Although it has been proved theoretically that annuities can provide optimal consumption during one’s retirement period, retirees’ reluctance to purchase annuities is a long-standing puzzle. The purpose of this paper is to use behavioral model to analyze the low demand for immediate annuities.
Design/methodology/approach
The authors employ cumulative prospect theory (CPT), which contains both loss aversion and probability transformations, to analyze the annuity puzzle.
Findings
The authors show that CPT can explain the unattractiveness of immediate annuities. It also shows that retirees would be willing to buy a long-term deferred annuity at retirement. By considering each component from CPT in turn, the loss aversion is found to be the major reason that stops people from buying an annuity while the survival rate transformation is an important factor affecting the decision of when to receive annuity incomes.
Originality/value
This paper identifies CPT as one of the reasons for the low demand of immediate annuities. It further suggests that long-term deferred annuities could overcome behavioral obstacles and become popular among retirees.
Details
Keywords
Liming Yao, Yuhong Shuai, Xudong Chen and Anran Xiao
Due to recent technological advances, the retail industry has changed significantly. This paper examines a novel unmanned retail mode-unattended convenience store to identify the…
Abstract
Purpose
Due to recent technological advances, the retail industry has changed significantly. This paper examines a novel unmanned retail mode-unattended convenience store to identify the possible operational problems and develop appropriate managerial recommendations.
Design/methodology/approach
A data-driven two-stage epsilon-based measure (EBM) data envelopment analysis (DEA) method was developed to evaluate operational performance data from 33 unattended convenience stores and assess the impacts on efficiency of the internal factors, and a Tobit regression analysis was employed to examine the external environment.
Findings
It was found that the overall economic performances were relatively low and fluctuated significantly; however, the social performances were slightly higher. The out-of-stock rate was found to have a negative impact on efficiency, and regional characteristics were found to have significant effects on performance.
Practical implications
This study sought to identify current operational problems with unattended convenience stores to provide managerial insights. The cross-sectional assessment suggested that to achieve better performance, particular attention needed to be paid to store locations and surrounding store environments.
Originality/value
First, this paper establishes a novel theoretical framework to evaluate the economic and social operational performances at unattended convenience stores. Second, it contributes to research on unattended convenience stores and the unmanned retail industry and offers significant guidance on detecting operational deficiencies and improving future performances.
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Aihui Chen, Anran Lyu and Yaobin Lu
As human–AI hybrid teams become more common, it is essential for team members to interact effectively with artificial intelligence (AI) to complete tasks successfully. The…
Abstract
Purpose
As human–AI hybrid teams become more common, it is essential for team members to interact effectively with artificial intelligence (AI) to complete tasks successfully. The integration of AI into the team environment alters the cooperative dynamics, prompting inquiry into how the design characteristics of AI impact the working mode and individual performance. Despite the significance of this issue, the effects of AI design on team dynamics and individual performance have yet to be fully explored.
Design/methodology/approach
Drawing upon coping theory, this study presents a research model aimed at elucidating how the characteristics of AI in human–AI interaction influence human members’ adaptive behavior, subsequently impacting individual performance. Through the creation of experiments that require human–AI collaboration to solve problems, we observe and measure various aspects of AI performance and human adaptation.
Findings
We observe that the explainability of AI enhances the behavioral adaptation of human team members, whereas the usability and intellectuality of AI improve their cognitive adaptation. Additionally, we find that human team members’ affective adaptation is negatively affected by the likability of AI. Our findings demonstrate that both behavioral and cognitive adaptations positively impact individual performance, whereas affective adaptation negatively impacts it.
Practical implications
Our research findings provide recommendations for building efficient human–AI hybrid teams and insights for the design and optimization of AI.
Originality/value
Overall, these results offer insights into the adaptive behavior of humans in human–AI interaction and provide recommendations for the establishment of effective human–AI hybrid teams. These findings pioneer an understanding of how design characteristics of AI impact team dynamics and individual performance, establishing a connection between AI attributes and human adaptive behavior.
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Dejian Yu and Anran Fang
Supply chain integration (SCI) dominates supply chain strategy and is receiving increasing academic attention. The purpose of this paper is to provide a systematic review of the…
Abstract
Purpose
Supply chain integration (SCI) dominates supply chain strategy and is receiving increasing academic attention. The purpose of this paper is to provide a systematic review of the knowledge trajectory and structure of the SCI field.
Design/methodology/approach
Based on 3,533 papers extracted from the Web of Science (WoS), this paper adopts the main path analysis (MPA) method to detect three distinct knowledge development trajectories. Coupling-based clustering is combined with MPA to reveal three critical subfields.
Findings
The findings show that the definition, content and dimensions of SCI lack unified conclusions. The influencing factors and performance consequences of SCI are long-standing research elements. Building theoretical models and integrated systems and applying blockchain technology to improve SCI are the key research contents. The intertwining of collaboration and SCI cannot be ignored, and the green SCI may be a hot topic in the future.
Research limitations/implications
This study explores knowledge in the SCI field based on the limited literature collected by WoS rather than all published papers. The omissions of some relevant papers and books may exist.
Practical implications
The study methodology provides a framework for similar studies in the future, and the results help researchers to get a comprehensive picture of the knowledge trajectory and structure of the SCI field.
Originality/value
Compared to existing reviews, MPA combines cluster analysis to develop a synthetic framework of the knowledge trajectory and structure in the SCI domain. It contributes to a systematic review of the development of SCI.
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Anran Zhang, Zhengliang Xu and Xin Yu
Cause-related marketing (CRM) is an increasing popular marketing strategy in which a firm donates a specific amount to a designed cause when customers engage in revenue-providing…
Abstract
Purpose
Cause-related marketing (CRM) is an increasing popular marketing strategy in which a firm donates a specific amount to a designed cause when customers engage in revenue-providing exchanges. Based on balance and attribution theory, this paper aims to explore the interaction effect of donation amount and ad orientation, two important factors of formulation and communication of CRM, respectively, on consumer response and the mediating effect of consumers’ perceived company motives.
Design/methodology/approach
Two 2 (donation amount: small vs large) × 2 (ad orientation: product- vs cause-oriented) between-subjects experimental studies were conducted in marketing course with 284 and 157 Chinese undergraduate students participating in Studies 1 and 2, respectively. ANOVA and regression were used to test the hypotheses.
Findings
Study 1 shows the significant interaction effects of donation amount and ad orientation on consumers’ response. When CRM has a large donation amount, cause-oriented (vs product-oriented) ad leads to consumers’ more positive company attitude and higher purchase intention. The opposite is true for the small donation amount condition. Study 2 shows that the above interaction effect is mediated by consumer-attributed company motives. The attributed motive of sincerely caring about social cause has significant positive effect on consumer response, whereas the attributed motive of increasing sales or improving corporate image does not.
Originality/value
This paper contributes to the literature by empirically examining the interaction effect of donation amount and ad orientation on consumer-inferred motives and behavioral response. The findings are valuable because they indicate the importance of matching between factors at formulation and communication stage. In addition, this paper found that consumers are “tolerant” of companies using CRM to promote product sales and improve brand image.