Search results

Ethical decisions determine which individuals and/or groups benefit, and which suffer. Such decisions by executives impact front-line providers directly and customers indirectly; they are important because repercussions in service interactions feel personal. The purpose of this paper is to fill an important gap in the service literature by exploring how high-level executives make ethical decisions, creating values and culture within an organization; the results include testable propositions.

The research used a grounded theory approach, wherein high-level executives in successful service organizations responded through in-depth interviews. Complete interview transcripts were analyzed using standard qualitative methodology, including open coding to better understand and categorize the data, axial coding to seek out crucial relationships between concepts, and selective coding to develop research propositions.

Data analysis revealed two groups of interviewees, one more outcome-oriented in decision making and the other more process-oriented. The organizations led by more outcome-oriented executives have strong family-like (or paternalistic) cultures, whereas the organizations led by more process-oriented executives value adaptability and diversity.

The executives interviewed are quite successful; therefore, it is not possible to make inferences about unsuccessful executives or those leading poorly performing organizations. Propositions developed relate that process-oriented executives use both analytical measures and intuition in decision making, whereas outcome-oriented respondents rely more heavily on analytical measures.

Service executives apparently make ethical decisions while focusing either on processes or on outcomes; members of these two groups use different evaluative criteria to identify a successful decision. Decisions relating to people within the organization are perceived by the executives to be especially salient, apparently owing to interpersonal interaction in services.

There are inherent social implications when ethical decisions are made, because these decisions determine which individuals or groups benefit, and which suffer.

This research is among the first to interview high-level service executives about their ethical decision making when their choices define culture and values within their organizations. Findings offer a new look at how differences between executives that focus on processes and those that focus on outcomes may shape organizational cultures and lead to consideration of different criteria in making and evaluating decisions.

Whether an organization’s political behaviour is positively related to its performance has been a long-standing question. Most studies elaborating on this issue, although rich in detail, primarily have been limited to case studies, apart from a niche set of studies in international business. This study aims to explore this question through a survey study of managers and executives from around the world, across a range of industries.

The study explores the link between politics, the ability of a firm to speedily reach the market and its growth rate through a study of 382 executives from across the world. It also investigates alternative explanations of slow speed to market due to power centralization, decision-making layers and conflict.

The results show that politics – the observable but often covert actions through which executives influence internal decisions – has a direct negative effect on a firm’s ability to reach the market first and on its growth rate. That is, not only is politics time-consuming but it may also have a detrimental impact on the selection of the best growth opportunities.

Politics does have a negative impact on growth; it slows down a firm’s growth and its ability to reach the market. This study eliminates possible alternative explanations of a slow pace to market: slower companies are not so because they have too many decision-making layers but because they use consultative processes in resource-allocation decisions, or because of conflict.

In the process of group decision-making, there may be multilayer subjects. In other words, members of the decision-making group may come from different layers and there is interest game among decision experts. Therefore, it is an extremely important topic to aggregate the information of decision experts who are involved in hierarchical relations and gaming relations so as to effectively address game conflicts and reach game cooperation.

First, a programming model is established to minimize the difference of expert opinions in hierarchical decision-making, and the method to solve the optimal solution is given. Second, the cooperative game model and its properties are discussed by using cooperative game and Shapley value, and the method to determine the weight vector between layers is also proposed.

This model can quickly aggregate information and achieve game equilibrium among decision-makers with hierarchical relationships. It can be widely used in decision evaluation with hierarchy structure and has certain practical value.

In order to solve the problem that experts at different levels may have conflicts of interest in multilayer grey situation group decision-making process, cooperative game and Shapley value theory are introduced into the study, and a multilayer grey situation group decision-making model based on cooperative game is constructed. The validity and practicability of the model are illustrated by an example.

Due to the political, economic and infrastructure barriers and risks that international entrepreneurs (IEs) face when researching an emerging economy's agrifood sector, this research aims to identify the major barriers, analyse their relationships, quantify their importance, classify and rank them. Thus, the IEs will gain a better understanding and vision of their decision-making processes in this era.

To do this, the authors first created a list of barriers to entry for IEs into Iran's rising economy's agrifood industry. Following that, a multi-layer decision-making approach was developed and implemented to accomplish the research objectives. The first stage utilized a hybrid of interpretive structural modelling (ISM) and cross-impact matrix multiplication applied to classification (MICMAC) to depict the level-based conceptual model and classification of the IEs’ obstacles to entry into the agrifood sector. Following that, a hybrid decision-making trial and evaluation laboratory (DEMATEL), and analytic network process (ANP) called DANP was utilized to present a causal relationship between the barriers, identify their causes and effects, and also quantify the relevance of each barrier.

After employing the multi-layer decision-making approach, the results demonstrated that fundamental limitations, including infrastructure and technology limitations, are the most critical barriers alongside policy factors encompassing governmental support and access to global or regional economy/market. According to the results, innovation and economic sustainability of the agrifood supply chain also matter. All of these critical barriers are intertwined and should be planned and solved simultaneously. Furthermore, based on DANP results, the sustainability pillars (economy, environment, society), besides the low efficiency of the agrifood sector in Iran, should be investigated further for future policy makings.

A hybrid multi-layer decision-making approach has been used for analysing the barriers of investment in the agrifood sector of the emerging economy of Iran for the international entrepreneurs. Moreover, the authors provide implications and insights for IEs and officials for decision-making in the future.

The evolution from emerging technologies to smart libraries is thoroughly analyzed thematically and bibliometrically in this research study, spanning 2013 through 2022. Finding and analyzing the significant changes, patterns and trends in the subject as they are represented in academic papers is the goal of this research.

Using bibliometric methodologies, this study gathered and examined a large corpus of research papers, conference papers and related material from several academic databases.

Starting with Artificial Intelligence (AI), the Internet of Things (IoT), Big Data (BD), Augmentation Reality/Virtual Reality and Blockchain Technology (BT), the study discusses the advent of new technologies and their effects on libraries. Using bibliometric analysis, this study looks at the evolution of publications over time, the geographic distribution of research and the most active institutions and writers in the area. A thematic analysis is also carried out to pinpoint the critical areas of study and trends in emerging technologies and smart libraries. Some emerging themes are information retrieval, personalized recommendations, intelligent data analytics, connected library spaces, real-time information access, augmented reality/virtual reality applications in libraries and strategies, digital literacy and inclusivity.

This study offers a thorough overview of the research environment by combining bibliometric and thematic analysis, illustrating the development of theories and concepts during the last ten years. The results of this study helps in understanding the trends and future research directions in emerging technologies and smart libraries. This study is an excellent source of information for academics, practitioners and policymakers involved in developing and applying cutting-edge technology in library environments.

This paper addresses a gap in research literature in the fields of blockchain technology (BC), supply chain network dynamics (SC) and network effect phenomena (NE). Extant BC and SC literature describes the potential benefits to be reaped through the adoption of BC technology. While BC technology does not yet meet the researched expectations of adoption, performance and efficacy, the authors analyze the three inter-related fields (BC, SC and NE) to bridge this gap in theory.

This paper begins with a research review correlating the technological fundamentals of BC technology into fundamental value propositions for SC logistics contexts. The authors review the gap between these theoretical technological functions and the current ecosystem of BC applications. With an overarching understanding of BC in SC contexts, this paper then explores the phenomena of NE and attempts to synthesize various interrelated aspects of the three fields (BC, SC and NE). Research frameworks from extant literature are used for cross-comparing legacy software/information system solutions with potential and existing BC-based solutions. Case studies are utilized to support this analysis.

Several key considerations and themes are identified to better inform practitioner and researcher decision-making. Novel insights pertain to BC platform architecture and application modularity, integrated governance and decision-making capabilities, and the automation capabilities that arise from a healthy application and smart contract ecosystem.

The core contribution is the synthesis of network effect theory with SC phenomena and BC theory and the exploration of how these three fields are inter-related in the maturation of BC technology. Specifically, the authors deepen insights from extant literature by contextualizing findings with relevant interdisciplinary theoretical frameworks.

Entrepreneurs’ decision-making for detecting, evaluating and utilising opportunities across international borders is one of the main subjects of international entrepreneurship research. This study aims to argue that recognising and classifying international entrepreneurship opportunities facilitate the decision-making process. To do such a thing, a multi-layer decision-making approach focusses on the industrial sector of the Kish free zone. In the first stage, the data will be collected by a questionnaire survey of entrepreneurial companies in the industry field and the main international entrepreneurship opportunities will be identified. In the second stage, the importance and relationship between the opportunities will be evaluated based on the identified opportunities. Eventually, in the last stage, the relationship and the importance of the opportunities will be determined by proposing and using a multi-layer decision-making approach. In conclusion, the prioritised international entrepreneurship opportunities will be presented.

Through collective management at Cisco Systems in the United States, practitioners at all levels of management, rather than just a select few, overcame various contradictions through “strategic collaborations” across divisions within the company to respond to the challenge of new business innovation. Moreover, through skillful management of leadership at the formal organization layer, the informal organization layer, and the psychological boundary layer (the boundary layer between the two aforementioned layers), all practitioners of the company demonstrated holistic leadership, which enabled creative dialogue, cooperation, and understanding as well as rapid decision-making and action. Strategic collaboration based on holistic leadership enables outstanding ideas to be readily incorporated into the organization and to be examined and acted on by a single team. This chapter discusses processes whereby collective management based on Cisco System’s holistic leadership changed staff behavior and the corporate culture to achieve business innovation.

In the high-altitude, high-voltage electromagnetic interference operation environment, due to the parameters perturbation for robot control model caused by uncertainties and disturbances, and with the poor effective of the conventional proportional–integral–derivative (PID) control to parameters perturbation system, the mathematical model of power cable live operation robot joint PID closed-loop control system is established.

The corresponding joint motion robust PID control method is also proposed based on Kharitonov theory, the system robust stability conditions including the sufficient and necessary conditions are deduced and obtained and the solving process of robust PID control parameters stability region is provided.

Finally, the simulation research on robot joint motion PID control system is also launched in MATLAB environment based on Kharitonov theory. The results show that the conventional PID control obtains better control effect only to nominal model but is ineffective to parameter perturbation system, while robust PID obtains sound control effect to parameter perturbation system. Compared with H8 robust PID, the Kharitonov robust PID has better control effect which meet the system design requirements of joint motor quickly response, high tracking accuracy and sound stability. Finally, the validity and engineering practicability are verified by 220-kV living replacing damper operation experiment.

This paper has described the development of a damper replacement power cable live maintenance robot experimental prototype, which greatly improves operation efficiency and deals with the safety problem of operation in a high-voltage environment. A general manipulator motion control model of the power cable robot is established; the Kharitonov theory-based parameter perturbation robust motion control method of damper replacement robot is also obtained. Through the simulation comparison, it is verified that the Kharitonov control has more superiority for dealing with the parameter perturbation systems under the premise of ensuring the stability motion. The field experiment has further confirmed the engineering practicability.

The purpose of this paper is to explore the impact of decision model innovation (DMI), set on the decision-making support for the customers, on customer satisfaction and the firm’s competitive productivity (FCP).

This study operationalizes the concept of DMI by developing a decision support journey (DSJ) model for the airport industry, using the case of Zurich Airport and its ecosystem. This paper then explores how this DSJ impacts the FCP of Zurich Airport.

This study finds that applying DMI shows potential to improve talent management, resource management and corporate culture, leading to a higher FCP. By centralizing the decision-making process of its customer and decision support, executives gain essential insights into the actual needs of their customers. This enables firms to adapt their products and services to the actual needs of the customer, which leads to higher performance.

This study explores the complementarity between DMI and FCP, exploring how operationalizing the concept through DSJ impacts FCP elements, including talent management, resource management and overall corporate culture. This extends extant work on improving non-aeronautical revenues in dynamic environments within airport ecosystems as a converging industry setting.

Existing airport digital applications providing minimal support should be expanded to provide an interaction and exchange platform for airport ecosystem players and customers. This paper finds that the firm adopting DMI in the airport/airline industry can set up a win-win situation to achieve competitive productivity by providing decision-making support and valuable insights to its customers.

This study is among the first to apply DMI toward improving FCP in the airport industry. It treats airports as an ecosystem of converging industries that can benefit by incorporating customer-focused digitally-enabled solutions to improve decision-making and customer satisfaction.