Healthcare’s Sustainable Resource Planning Using Neutrosophic Goal Programming

We develop neutrosophic goal programming models for sustainable resource planning in a healthcare organization. The neutrosophic approach can help examine the imprecise aspiration levels of resources. For deneutrosophication, the neutrosophic value is transformed into three intervals based on the truth, falsity, and indeterminacy-membership functions. Then, a crisp value is derived. Moreover, multi-choice goal programming is also used to get a crisp value. The proposed models seek to draw a strategic plan and long-term vision for a healthcare organization. Accordingly, the specific aims of the proposed flexible models are meant to evaluate hospital service performance and to establish an optimal plan to meet the growing patient needs. As a result, sustainability’s economic and social goals will be achieved so that the total cost would be optimized, patients’ waiting time would be reduced, high-quality services would be offered, and appropriate medical drugs would be provided. The simplicity and feasibility of the proposed models are validated using real data collected from the Al-Amal Center for Oncology, Aden, Yemen. The results obtained indicate the robustness of the proposed models, which would be valuable for planners who could guide healthcare staff in providing the necessary resources for optimal annual planning.

Social Performance Feedback and Firm Communication Strategy

Although corporate social performance has become an important measure of firm performance, there is little understanding about how firms respond to social performance feedback and how impression management may function as an important firm response to the feedback. Building upon and extending the literature on the behavioral theory of the firm and the strategic use of language, we examine how discrepancies between firms’ social performance and their aspiration levels affect how firms use visual expressions in their CSR reports. In addition, we argue that the relationship between social performance discrepancies and the use of visual expressions in CSR reports is moderated by the extent to which firms conduct socially responsible activities to enhance legitimacy (reflected in the level of state ownership) and the extent to which firms engage in social activities to improve financial performance (reflected in foreign exposure). Using a sample of Chinese firms issuing CSR reports from 2009 to 2017, our empirical results provide strong support for these arguments.

Modeling managerial search behavior based on Simon’s concept of satisficing

Computational models of managerial search often build on backward-looking search based on hill-climbing algorithms. Regardless of its prevalence, there is some evidence that this family of algorithms does not universally represent managers’ search behavior. Against this background, the paper proposes an alternative algorithm that captures key elements of Simon’s concept of satisficing which received considerable support in behavioral experiments. The paper contrasts the satisficing-based algorithm to two variants of hill-climbing search in an agent-based model of a simple decision-making organization. The model builds on the framework of NK fitness landscapes which allows controlling for the complexity of the decision problem to be solved. The results suggest that the model’s behavior may remarkably differ depending on whether satisficing or hill-climbing serves as an algorithmic representation for decision-makers’ search. Moreover, with the satisficing algorithm, results indicate oscillating aspiration levels, even to the negative, and intense—and potentially destabilizing—search activities when intra-organizational complexity increases. Findings may shed some new light on prior computational models of decision-making in organizations and point to avenues for future research.

Modelling resilient fashion retail supply chain strategies to mitigate the COVID-19 impact

PurposeThis paper aims to develop supply chain strategies for the fashion retail supply chain (FRSC), likely to be disrupted by the current pandemic (COVID-19) under physical and online retail stores. The resilient retail supply chain design is proposed under budget allocation and merchandise capacity constraints.Design/methodology/approachThis paper utilises the theory of constraint (ToC) and goal programming (GP) to address the COVID-19 impact on FRSC. The budgetary and capacity constraints are formulated with a constraint optimisation model and tested with six different priorities to deal with the physical and online stores. Next, all priorities are developed under different FRSC business scenarios. The ToC-GP-based optimisation model is validated with one of the Indian fashion retail supply chains.FindingsThe proposed optimisation model presents the optimal retailing strategies for selling fashion goods over physical and online platforms. The multiple scenarios are presented for developing trade-offs among different strategies to maximise the retailer's merchandise performance. This paper also highlighted the strategic movement from high merchandise density stores to low merchandise density stores. This implies a reduction of sales targets and aspiration levels of both online and physical fashion stores.Research limitations/implicationsThe proposed model is validated with one of the fashion retailers in India. Other nations or multiple fashion retailers might be considered for more generalisation of findings in the future.Practical implicationsThis research helps fashion retail supply chain managers deal with consumer demand uncertainty over physical and online stores in pandemic times. Limitation: Other nations or multiple fashion retailers might be considered for more generalisation of findings in the future.Originality/valueThis is the first study that considered the impact of COVID-19 on the retail fashion supply chain. The effect of physical and online platforms is mainly discussed from consumer marketing perspectives, but an inventory and resilience perspective is missing in earlier studies. The role of merchandise planning is highlighted in this study.

Invest in Innovation or Not? How Managerial Cognition and Attention Allocation Shape Corporate Responses to Performance Shortfalls

ABSTRACT This study investigates the influence of managerial cognition and attention allocation on firms’ responses to negative performance feedback. We explore how managerial cognition, as shaped by managers’ experiences, connections, positions, and industry environments, affects underperforming firms’ attention allocation and, consequently, their decisions to invest in innovation. Utilizing a longitudinal sample of Chinese high-tech firms from 2009 to 2017, we find that firms increase investment in research and development (R&D) when performance falls below aspiration levels. We also document that underperforming firms are associated with an even larger R&D investment increase when their CEOs have an R&D or engineering background, serve simultaneously as the board chair, or are not politically connected. In addition, we highlight the moderating effects of industry competition and industry norms on the relationship between firm underperformance and R&D intensity. We conclude that managerial cognition affects firms’ allocation of attention to innovation as a solution for closing performance gaps and shapes corporate responses to negative performance feedback.

Capture of value by stakeholders and firm performance: Does family management have a moderating impact?

This work analyses the impact of gaps in stakeholder aspiration levels concerning value capture and company performance, especially regarding the impact on this relationship by family management. The work offers empirical evidence from a sample of 114 Spanish companies of a collaborative attitude among stakeholders when the gaps of generated value appropriations increase, thereby positively affecting company performance. In addition, when stakeholders receive less value than expected, empirical evidence indicates that the management of internal resources and stakeholder demands is more efficient in a family business, and this efficiency increases future performance. These results are useful for management because they demonstrate the relevance of efficient management of relational capital, and family businesses are examples of such relational management.

Network rewiring promotes cooperation in an aspirational learning model

We analyze a cooperative decision-making model that is based on individual aspiration levels using the framework of a public goods game in static and dynamic networks. Sensitivity to differences in payoff and dynamic aspiration levels modulate individual satisfaction and affects subsequent behavior. The collective outcome of such strategy changes depends on the efficiency with which aspiration levels are updated. Below a threshold learning efficiency, cooperators dominate despite short-term fluctuations in strategy fractions. Categorizing players based on their satisfaction level and the resulting strategy reveal periodic cycling between the different categories. We explain the distinct dynamics in the two phases in terms of differences in the dominant cyclic transitions between different categories of cooperators and defectors. Allowing even a small fraction of nodes to restructure their connections can promote cooperation across almost the entire range of values of learning efficiency. Our work reinforces the usefulness of an internal criterion for strategy updates, together with network restructuring, in ensuring the dominance of altruistic strategies over long time-scales.Maintaining a public resource requires sustained cooperation through contributions by community members who benefit from it. Yet, a selfish individual who refuses to contribute can enjoy the benefits without paying the cost of sustaining the public good. If however, too many members of the community act selfishly, the public resource collapses to the detriment of all. The public goods game highlights such a social dilemma and provides a framework for exploring different mechanisms of strategic decision-making that allow cooperation and consequently the public good to be sustained. Among many mechanisms, the reorganization of social ties has been shown to be effective in promoting cooperation in PGG. However, the efficacy of most mechanisms in sustaining cooperation rely on individuals updating their strategy on the basis of information about the contributions of other members of the community. Often such information is either not forthcoming or cannot be effectively utilized. An alternative low-information model of behavioral updating relies on a comparison between the actual benefit received and the benefit aspired for. Individuals tend to retain their strategy if they are satisfied with the benefit received and change their strategy if they are unsatisfied. We show that such a simple reinforcement learning model along with modest restructuring of social ties over time can allow cooperation to be sustained. Our work shows that a low-information strategy-update model can be very effective in ensuring dominance of cooperators in social dilemmas.

Performance Feedback Theory

Performance Feedback Theory (PFT) is a scholarly field that examines how organizations respond to feedback on their performance. Other keywords used by researchers in this area include “adaptive aspirations,” “attainment discrepancy,” “organizational learning from performance feedback,” “performance aspiration,” or a more generic label like a “behavioral theory/approach/perspective.” The origin of PFT can be found in the Carnegie School approach. PFT explicitly and predominantly positions itself as part of the “Behavioral Theory of the Firm” (BTOF). PFT shares many of the same foundational ideas and continues to be influenced by other strands of BTOF scholarship. The main concepts in this theory are performance feedback, aspiration levels, and responses or responsiveness. Aspiration level refers to the minimum level of performance deemed satisfactory by a decision maker, and, thus, it serves as the benchmark against which to evaluate performance. Two types of aspiration levels are common: historical ones, which are based on the organization’s own prior performance, and social ones, which are based on the performance of comparable peer organizations, usually all other firms active in a focal firm’s industry. The comparison of actual performance with aspiration levels constitutes performance feedback. Depending on whether performance feedback is favorable, i.e., exceeds a particular aspiration level being examined, PFT predicts different responses and levels of responsiveness. Commonly, predictions and findings indicate responses that diverge from previous firm actions and greater responsiveness in any area of firm activity where performance is below the aspiration level. Such responses includes a wide range of strategic and operational choices, such as new market entry, investment in fixed assets, research and development (R&D) spending, innovation adoption, and so on. In fact, as PFT continues to develop and gain in popularity, the range of firm and decision maker behaviors linked to performance feedback has greatly increased. While consensus is widespread on the core of the theory, PFT scholarship is still developing. Discussions are ongoing on the extent to which its main predictions apply universally, irrespective of the type of organization examined, the performance measure used, and the type of aspiration level considered. Specifically, research efforts are examining what boundary conditions limit the applicability of PFT’s predictions and which contingencies modify them and, thus, should be included as moderators in PFT models.

Performance Aspirations and Corporate Tax Avoidance

The current study examines whether performance discrepancy from the aspiration level affects corporate tax avoidance. Prior studies show that performance discrepancies from the aspiration level significantly affect firms' behavior; thus, it is important to examine whether such discrepancies affect corporate tax avoidance. Based on the behavioral theory of the firm (BTOF), this study posits that firms performing below the aspiration levels avoid more taxes in the subsequent period than other firms. Empirical findings using data from a sample of U.S. firms for the period covering 1993-2016 support the hypothesis. The findings also show that, while there is a difference among firms meeting or beating the aspiration level, there is no statistically significant difference in tax avoidance level among firms performing short of their aspiration level. The study contributes to the existing literature by providing additional evidence extending the scope of literature in BTOF and tax avoidance areas.

Do personal values explain variation in satisficing measures of risk?

PurposeThe role of personal value systems as antecedents to risk has been largely ignored. Following Gigerenzer's view of ecological rationality, the authors argue an individual's personal value system serves as concrete motivations that guide risky choices and facilitate adaptation to one's environment.Design/methodology/approachThe authors elicit risk attitudes using a satisficing-based risk elicitation method that exploits the idea of worst-case aspiration or minimum portfolio returns given a portfolio comprising a safe and risky prospect. The elicited worst-case aspiration allows for more descriptive and natural ways of characterizing attitudes to risk (i.e. satisficing measures of risk). Using the Schwartz Value Survey, the authors assess the relative importance individuals place on value systems, such as personal focus versus social focus. The authors argue that preference to value systems has linkages with the worst-case aspiration setting emphasized in the satisficing task.FindingsThis study’s findings suggest that individuals who are willing to give up higher potential returns to protect their downside risk (by setting higher worst-case aspiration) are positively associated with personal focus—concern about own outcomes than social focus—concern about the outcomes for others or established institutions.Research limitations/implicationsCurrently, the study’s setting is in the domain of financial decision-making. Going forward, milestones could be set for studying risky real-world choices by simply changing the risk measure in different contexts, such as job choices, education, health and social interactions.Originality/valueThis study contributes to the discussion on the psychometric structure of risk. Prescriptive benefits of satisficing as a positive heuristic, which is interpreted as setting achievable goals or aspiration levels, are extensive and recognized in various industries ranging from agriculture, airlines, insurance to financial advising. More recently, cognitive processes, such as emotions and personal value systems, are recognized as a type of social cognition that subserve heuristic functions that can guide behavior quickly and accurately.