Search results

1 – 10 of over 13000
Article
Publication date: 28 September 2018

Eileen Bridges

Ethical decisions determine which individuals and/or groups benefit, and which suffer. Such decisions by executives impact front-line providers directly and customers…

2001

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Social implications

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

Originality/value

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.

Details

Journal of Service Theory and Practice, vol. 28 no. 5
Type: Research Article
ISSN: 2055-6225

Keywords

Article
Publication date: 6 November 2017

Massimo Garbuio and Dan Lovallo

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…

1227

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Review of International Business and Strategy, vol. 27 no. 4
Type: Research Article
ISSN: 2059-6014

Keywords

Article
Publication date: 22 February 2022

Na Zhang and Shuli Yan

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/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.

Details

Grey Systems: Theory and Application, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2043-9377

Keywords

Article
Publication date: 29 October 2021

Hannan Amoozad Mahdiraji, Moein Beheshti, Seyed Hossein Razavi Hajiagha, Niloofar Ahmadzadeh Kandi and Hasan Boudlaie

Due to the political, economic and infrastructure barriers and risks that international entrepreneurs (IEs) face when researching an emerging economy's agrifood sector…

118

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

British Food Journal, vol. 124 no. 7
Type: Research Article
ISSN: 0007-070X

Keywords

Article
Publication date: 2 November 2018

Wei Jiang, Yu Yan, Lianqing Yu, Hong Jun Li, Lizhen Du and Wei Chen

In the high-altitude, high-voltage electromagnetic interference operation environment, due to the parameters perturbation for robot control model caused by uncertainties…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Industrial Robot: An International Journal, vol. 45 no. 6
Type: Research Article
ISSN: 0143-991X

Keywords

Book part
Publication date: 12 May 2017

Mitsuru Kodama

Through collective management at Cisco Systems in the United States, practitioners at all levels of management, rather than just a select few, overcame various…

Abstract

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.

Article
Publication date: 7 June 2021

Srinath Rengarajan, Roger Moser, Louis Tillessen, Gopalakrishnan Narayanamurthy and Sai Shiva Jayanth Reddy

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…

Abstract

Purpose

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).

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Originality/value

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.

Details

International Journal of Contemporary Hospitality Management, vol. 33 no. 9
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 27 July 2022

Murat Ayar, Alper Dalkiran, Utku Kale, András Nagy and Tahir Hikmet Karakoc

The use of unmanned aerial vehicles (UAVs) has significantly increased in the past decade and nowadays is being used for various purposes such as image processing, cargo…

Abstract

Purpose

The use of unmanned aerial vehicles (UAVs) has significantly increased in the past decade and nowadays is being used for various purposes such as image processing, cargo transport, archaeology, agriculture, manufacturing, health care, surveillance and inspections. For this reason, using the appropriate image processing method for the intended use of UAVs increases the study’s success. This study aims to determine the most suitable one among the innovative methods that constitute the image processing system for a UAV to be used for surveillance purposes.

Design/methodology/approach

Analytical hierarchy process has been used in the solution of the decision problem to be handled in three stages, namely, platform, architecture and method. The most suitable alternative and the effect weights of these criteria results were determined at each stage.

Findings

As a result of this study, Jetson TX2 was determined as the most suitable embedded platform, ResNet is the optimum architecture and Faster R-convolutional neural networks was the best method in the image processing layer for a system that will provide surveillance with image processing method using UAV.

Practical implications

In UAV designs, where multiple hardware and software choices and system combinations exist, multi-criteria decision-making (MCDM) approaches can be used as a system decision mechanism.

Originality/value

The novelty of this work comes from the application of MCDM methods that are used as a multi-layered decision mechanism in UAV design.

Details

Aircraft Engineering and Aerospace Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1748-8842

Keywords

Article
Publication date: 15 February 2021

Nima Garousi Mokhtarzadeh, Hannan Amoozad Mahdiraji, Ismail Jafarpanah, Vahid Jafari-Sadeghi and Stefano Bresciani

The role of inter-organizational knowledge mechanisms (IOKMs) in learning networks is increasing so that the competition of business networks in providing innovations is…

Abstract

Purpose

The role of inter-organizational knowledge mechanisms (IOKMs) in learning networks is increasing so that the competition of business networks in providing innovations is highly dependent on the effective selection and application of these mechanisms. This study aims to argue that recognizing the classification of IOKMs and understanding their impact on networking capability (NC) makes the selection of mechanisms more effective.

Design/methodology/approach

With a systematic review of literature, a comprehensive list of IOKMs, their main characteristics and NCs have been extracted. The authors have used a focus group for data gathering and a hybrid multi-layer decision-making approach for data analysis. Finally, the impact of IOKMs on NC was determined.

Findings

By implementing a multi-layer decision-making approach, four categories of IOKMs including person-to-person, co-creation, team-oriented and informational are illustrated and their effects of NC are determined. Therefore, the findings of this research provide latecomer firms (LCFs) managers with a clear framework for selecting IOKMs.

Originality/value

The literature review shows that the number of knowledge mechanisms, especially their inter-organizational types, is increasing. It has made it difficult for LCFs managers to select effective and efficient mechanisms. Most of these mechanisms are listed, and few studies have classified them. Besides, research shows that fewer studies have investigated how IOKMs relate to NC. Furthermore, most studies on IOKMs have been conducted in the context of leading firms and LCFs have been neglected.

Details

Journal of Knowledge Management, vol. 25 no. 7
Type: Research Article
ISSN: 1367-3270

Keywords

Open Access
Article
Publication date: 23 November 2021

Mara Soncin and Marta Cannistrà

This study aims to investigate the organisational structure to exploit data analytics in the educational sector. The paper proposes three different organisational…

Abstract

Purpose

This study aims to investigate the organisational structure to exploit data analytics in the educational sector. The paper proposes three different organisational configurations, which describe the connections among educational actors in a national system. The ultimate goal is to provide insights about alternative organisational settings for the adoption of data analytics in education.

Design/methodology/approach

The paper is based on a participant observation approach applied in the Italian educational system. The study is based on four research projects that involved teachers, school principals and governmental organisations over the period 2017–2020.

Findings

As a result, the centralised, the decentralised and the network-based configurations are presented and discussed according to three organisational dimensions of analysis (organisational layers, roles and data management). The network-based configuration suggests the presence of a network educational data scientist that may represent a concrete solution to foster more efficient and effective use of educational data analytics.

Originality/value

The value of this study relies on its systemic approach to educational data analytics from an organisational perspective, which unfolds the roles of schools and central administration. The analysis of the alternative organisational configuration allows moving a step forward towards a structured, effective and efficient system for the use of data in the educational sector.

Details

Qualitative Research in Accounting & Management, vol. 19 no. 3
Type: Research Article
ISSN: 1176-6093

Keywords

1 – 10 of over 13000