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The purpose of this paper is to solve the problem that mobile robots are still based on reactive collision avoidance in unknown dynamic environments leading to a lack of interaction with obstacles and limiting the comprehensive performance of mobile robots. A dynamic window approach with multiple interaction strategies (DWA-MIS) is proposed to solve this problem.

The algorithm firstly classifies the moving obstacle movement intention, based on which a rule function is designed to incorporate positive incentives to motivate the robot to make correct avoidance actions. Then, the evaluation mechanism is improved by considering the time cost and future information of the environment to increase the motion states. Finally, the optimal objective function is designed based on genetic algorithm to adapt to different environments with time-varying multiparameter optimization.

Faced with obstacles in different states, the mobile robot can choose a suitable interaction strategy, which solves the limitations of the original DWA evaluation function and avoids the defects of reactive collision avoidance. Simulation results show that the algorithm can efficiently adapt to unknown dynamic environments, has less path length and iterations and has a high comprehensive performance.

A DWA-MIS is proposed, which increases the interaction capability between mobile robots and obstacles by improving the evaluation function mechanism and broadens the navigation strategy of DWA at a lower computational cost. After real machine verification, the algorithm has a high comprehensive performance based on real environment and provides a new idea for local path planning methods.

Sustainability has become a priority for companies due to pressure from multiple stakeholders. In an overly competitive market, shareholders push for economic results, allowing lean manufacturing to establish itself as dominant paradigm in manufacturing. However, concerns grow regarding how lean implementation can allow companies to achieve sustainable development goals, or, if the resources required for a successful lean implementation can result in a detriment of environmental and social performance. This paper intends to help close the knowledge gap regarding the effects of lean manufacturing on sustainable performance from a triple bottom line perspective, and how operational, environmental and social outcomes interact between themselves.

Two models for the interaction between lean and sustainability were proposed. The first is called the “sand-cone” model, which poses that performance improvements derived from lean are cumulative on each one of the sustainability dimensions. The second is called the “trade-offs” approach. In this case, the resources required to improve one dimension of sustainability clash with those required by the others. Data were gathered from a sample of 133 Colombian metalworking companies and processed using structural equations models.

The results support the cumulative “sand-cone”, which follows a sequence of operational-environmental-social improvement in the presence of lean. For the “trade-offs” model, partial evidence suggests that they can occur in detriment of social performance.

The “sand-cone” and “trade-offs” are empirically tested for the first time in the context of sustainability, providing further knowledge into its interaction with lean manufacturing. The models’ results contribute to practitioners by providing a tested path for companies to improve their performance in a cumulative sequence that will provide better long-term results.

Human Resource Practices (HRPs) have undergone a revolutionary change, with their practices being more strategic for facilitating the change process. Extant literature studies the impact of Lean Thinking Practices (LTPs) on Organizational Performance (OP). However, the role of HRP as a strategic partner in the inculcation of LTP appears to have been explored sparingly. Hence, this paper aims to identify the specific HRPs that enhance the impact of Lean Thinking on OP.

A cross-sectional survey method was adopted. A total of 528 responses from IT organizations across various levels and processes were collected. The proposed conceptual framework was tested and validated SPSS-Process Macro.

Findings revealed that the presence of HRPs as moderators is significantly impacting the relationship between LTP and OP. LTP when moderated by HRPs significantly impacts employee well-being when compared to other performance variables.

This study is a maiden attempt to study the role of HRP in the inculcation of LTP in IT organizations. Earlier studies, which have mainly concentrated on the need for Human Resource (people) involvement, have spoken and researched less about the specific HRPs in the inculcation of LTP. An empirically validated specific HRP for inculcating LTP in IT organizations is a significant contribution.

The purpose of this study is to empirically investigate the determinants and consequences of psychological reactance in the online shopping context. Leveraging the psychological reactance and self-congruity theories, functional and symbolic discrepancies enhance the psychological reactance toward online shopping. In addition, trustworthiness moderates the impact of online customers attitude ambivalence on their psychological reactance.

The authors conduct an empirical study on online customer cognitive factors. In this research paper, the postpositivism research view is used. The Smart PLS-SEM is used to analyze the data.

The current study findings reveal that self-concept and operational incongruence (i.e. symbolic and functional) are the main factors that lead to psychological reactance and resulting in online shopping hate. Poor website quality and other matters are so significant they create functional incongruence. Moreover, low trustworthiness strengthens psychological reactance in the online shopping hate context.

This study extends the psychological reactance and self-congruence theories to online shopping. Previously, literature has extensively studied the social commerce intention.

The present manuscript assesses how firms should manage frequent supply chain disruption triggers and whether these firms should use existing supply chain competencies, develop new ones or both to mitigate any adverse consequences on financial performance.

Data for the study come from a survey administered to professionals in India. India was an appropriate base for the study because of its developing economy and businesses often facing SC disruptions in the marketplace.

The findings show that the negative association between the frequency of supply chain disruption triggers and financial performance is weaker when a firm utilizes supply chain exploitation competencies. Conversely, the negative association between the frequency of supply chain disruption triggers and financial performance becomes stronger when using supply chain exploration competencies. Most significantly, however, the authors show that a strategy of supply chain ambidexterity – one that combines both exploitation and exploration practices – is more beneficial in mitigating the impact of frequent disruption triggers on firm financial performance compared to the other strategies.

These findings contribute to the literature, extending the benefits of ambidexterity beyond domains of innovation, manufacturing flexibility, competitiveness and firm performance to include mitigation of supply chain disruptions.

Research at the interface of marketing and entrepreneurship has emphasized digital entrepreneurship and how entrepreneurs pursue business opportunities centered on new technologies. However, a different type of entrepreneurship focused on opportunities involving consumers’ (re)adoption of displaced analog technologies when digital alternatives are dominant – analog entrepreneurship – is a trend and counter phenomenon to digital entrepreneurship that is receiving intense practitioner interest but limited scholarly attention. The purpose of this article is to present a theoretical framework that explains the role of analog entrepreneurship in technology revitalization.

In this conceptual paper, the authors use the microfoundations perspective to develop a multilevel theory of analog entrepreneurship. The authors define and delineate the “analog entrepreneurship” concept and formulate a midrange theory explaining how entrepreneurs influence the reemergence of analog technologies.

The theory’s main insight is that the renewal of analog technologies is not confined to consumers. Entrepreneurs are creating businesses that stimulate demand for analog technologies. As a result of entrepreneurs’ activities, legacy analog technologies do not fade into nonexistence in the face of rival digital technologies.

The theory of analog entrepreneurship contributes to research at the intersection of entrepreneurship and marketing by expanding its focus to consider the entrepreneurs who revitalize displaced analog technologies when digital alternatives are dominant. The authors provide insight into the potential trajectories of technologies after their initial displacement and the role entrepreneurs play in shaping the late stages of technology lifecycles. The theory draws attention to an underexplored phenomenon made increasingly prevalent by recent technological disruptions and suggests an agenda for studying how entrepreneurs renew analog technologies.