Identifying and ranking the effective factors on customer values

2014 ◽  
Vol 7 (1) ◽  
pp. 57-74 ◽  
Author(s):  
Mahsa Ghandehary ◽  
Hojjat Harati ◽  
Javad Khazaei Pool
Keyword(s):  
Customer Value ◽  
Banking Industry ◽  
Time Factors ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Factors Affecting ◽  
Effective Factors ◽  
Factors Influencing ◽  
Relational Benefits ◽  
Customer Values

Purpose – The purpose of this study is to identify and rank the effective factors on customer values from the perspective of banking customers. Design/methodology/approach – This study is a practical and descriptive survey. In order to rank the factors affecting customer values, a fuzzy analytical hierarchical process has been used. The data were gathered through Delphi method and questionnaires. Findings – The results of this study indicate that the factors affecting customer values include costs, relational benefits, brand perceptions, and services quality. These factors influence customer values, respectively. The results also indicate that financial costs among costs, operational benefit among relational benefits, trust in employee behavior in customer brand perceptions, and finally confidence in service quality dimensions have the highest priority. Research limitations/implications – The proposed model and research findings will greatly help researchers and practitioners understand the factors influencing customer value using a fuzzy analytic hierarchy process (FAHP) in the banking industry. Originality/value – In this study, for the first time, factors influencing customer value are studied by using a FAHP in the banking industry. The use of this method in this study has a certain authenticity.

scholarly journals Socioeconomic Risks and Their Impacts on Ecological River Health in South Korea: An Application of the Analytic Hierarchy Process

2021 ◽  
Vol 13 (11) ◽  
pp. 6287
Author(s):  
Suyeon Kim ◽  
Sang-Woo Lee ◽  
Se-Rin Park ◽  
Yeeun Shin ◽  
Kyungjin An
Keyword(s):  
South Korea ◽  
Socioeconomic Factors ◽  
Ecosystem Health ◽  
Relative Importance ◽  
River Ecosystem ◽  
River Health ◽  
Analytic Hierarchy ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Hierarchy Process

It is imperative to develop a methodology to identify river impairment sources, particularly the relative impact of socioeconomic sources, to enhance the efficiency of various river restoration schemes and policies and to have an internal diagnosis system in place. This study, therefore, aims to identify and analyze the relative importance of the socioeconomic factors affecting river ecosystem impairment in South Korea. To achieve this goal, we applied the Analytical Hierarchy Process (AHP) to evaluate expert judgement of the relative importance of different socioeconomic factors influencing river ecosystem impairment. Based on a list of socioeconomic factors influencing stream health, an AHP questionnaire was prepared and administered to experts in aquatic ecology. Our analysis reveals that secondary industries form the most significant source of stream ecosystem impairment. Moreover, the most critical socioeconomic factors affecting stream impairment are direct inflow pollution, policy implementation, and industrial wastewater. The results also suggest that the AHP is a rapid and robust approach to assessing the relative importance of different socioeconomic factors that affect river ecosystem health. The results can be used to assist decision makers in focusing on actions to improve river ecosystem health.

scholarly journals Analysis of Factors Influencing Effective Utilization Coefficient of Irrigation Water in the Manas River Basin

Water ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 189
Author(s):  
Lili Yang ◽  
Tong Heng ◽  
Guang Yang ◽  
Xinchen Gu ◽  
Jiaxin Wang ◽  
...  
Keyword(s):  
Irrigation Water ◽  
Large Scale ◽  
Grey Model ◽  
Analytic Hierarchy ◽  
Effective Utilization ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Utilization Coefficient ◽  
Using Data ◽  
Effective Use

The factors influencing the effective utilization coefficient of irrigation water are not understood well. It is usually considered that this coefficient is lower in areas with large-scale irrigation. With this background, we analyzed the effective utilization coefficient of irrigation water using the analytic hierarchy process using data from 2014 to 2019 in Shihezi City, Xinjiang. The weights of the influencing factors on the effective utilization coefficient of irrigation water in different irrigation areas were analyzed. Predictions of the coefficient’s values for different years were made by understanding the trends based on the grey model. The results show that the scale of the irrigation area is not the only factor determining the effective utilization coefficient of irrigation water. Irrigation technology, organizational integrity, crop types, water price management, local economic level, and channel seepage prevention are the most critical factors affecting the effective use of irrigation water. The grey model prediction results show that the effective utilization coefficient of farmland irrigation water will continuously increase and reach 0.7204 in 2029. This research can serve as a reference for government authorities to make scientific decisions on water-saving projects in irrigation districts in terms of management, operation, and investment.

Factors affecting transaction costs in megaprojects: a qualitative comparative analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dedong Wang ◽  
Hui Li ◽  
Yongqiang Lu
Keyword(s):  
Comparative Analysis ◽  
Transaction Costs ◽  
Qualitative Comparative Analysis ◽  
Asset Specificity ◽  
Necessary Condition ◽  
Content Type ◽  
Factors Affecting ◽  
Relational Contract ◽  
Factors Influencing ◽  
Project Costs

PurposeThe purpose of this study is to examine the factors influencing the transaction costs (TCs) in megaprojects to provide a basis for controlling project costs.Design/methodology/approachThis study selects six factors influencing the TCs in megaprojects from the perspective of TC theory and relational contract theory (RCT) through literature review. On the basis of crisp-set qualitative comparative analysis (QCA), this study tests combined factors influencing the TCs and the interaction between them.FindingsResults show that in megaprojects, TCs are affected by combination factors. The combination of asset specificity, uncertainty, transaction frequency and trust and the combination of asset specificity, reputation and trust will control TCs in certain situations. In the configuration leading to high project TCs, the combination of environmental and behavioral uncertainties is a necessary condition.Originality/valueThis paper fills up the research gap in the field of megaproject TCs, and researchers can focus on this field in the future.

Positive moods and word-of-mouth in the banking industry

2018 ◽  
Vol 36 (4) ◽  
pp. 764-783 ◽  
Author(s):  
Che-Hui Lien ◽  
Jyh-Jeng Wu ◽  
Maxwell K. Hsu ◽  
Stephen W. Wang
Keyword(s):  
Word Of Mouth ◽  
Banking Industry ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Special Treatment ◽  
Content Type ◽  
Functional Value ◽  
Relational Benefits ◽  
Symbolic Value ◽  
The Relationship

PurposeThe purpose of this paper is to examine the mediating effect of functional value and symbolic value between positive moods and word-of-mouth (WOM) referrals in the context of Taiwan’s banking industry. In addition, this study investigates the moderating effect of relational benefits on the relationship between perceived value and WOM.Design/methodology/approachThe research model was tested using data collected from customers (n=362) of the top 10 domestic banks in Taiwan. Structure equation modeling was employed to test and validate the conceptual model.FindingsPositive moods are found to be an important predictor of functional value, symbolic value and WOM in this banking service study. Four types of relational benefits are identified including social, special treatment, confidence and face. Note that two distinct segments of bank customers are identified in terms of relational benefits: those who appreciate face benefits (n1=169), and those who appreciate general relational benefits (n2=193). The findings reveal the existence of partial mediation between a banking customer’s mood and WOM through functional value and symbolic value in the overall sample (n=362). However, it was found that functional value partially mediates the influence of positive moods on WOM among respondents in the “general relational benefits” segment only. That is, relational benefits are found to moderate the relationship between functional value and WOM.Originality/valueThis study expands the existing body of knowledge on customers’ perceptions of value by differentiating types of value perceptions.

A hybrid framework to model factors affecting construction labour productivity

2019 ◽  
Vol 24 (3) ◽  
pp. 630-654 ◽  
Author(s):  
Majid Parchami Jalal ◽  
Shahab Shoar
Keyword(s):  
Construction Industry ◽  
Labour Productivity ◽  
Content Type ◽  
Factors Affecting ◽  
Schedule Delay ◽  
Factors Influencing ◽  
Hybrid Framework ◽  
Novel Method ◽  
The Cost ◽  
The Impact

Purpose This paper aims to model different causal relations among factors interacting with labour productivity in order to recognize the most important factors influencing and influenced by it. Design/methodology/approach Top 60 factors affecting labour productivity were determined and grouped into 5 major groups by reviewing previous research and interviewing relevant experts. The interactions of factors were modelled using system dynamics (SD) approach. The resulting causal loop diagrams obtained from SD were then applied for identifying the most crucial factors influencing and influenced by labour productivity through the decision-making trial and evaluation laboratory (DEMATEL) method. The impact of factors on each other was finally determined based on the opinions of 63 experts selected from the Iranian construction industry. Findings The results indicated that factors such as fatigue, lack of labour motivation and lack of skill are the most influencing, and factors such as schedule delay and inflation in the cost of execution are the most influenced by labour productivity. In the end, a set of recommendations to improve construction labour productivity was also presented. Originality/value The main contribution of the study is proposing a novel method which is capable of providing insights into how causes and effects of construction labour productivity are interrelated. Furthermore, the proposed method makes this study distinct from previous research in the light of prioritizing factors and offering recommendations according to the interrelationships among factors.

Developing a model for analyzing the factors influencing interpersonal conflict

2019 ◽  
Vol 57 (5) ◽  
pp. 1127-1144
Author(s):  
Zeinab Lalegani ◽  
Ali Nasr Isfahani ◽  
Arash Shahin ◽  
Ali Safari
Keyword(s):  
Qualitative Study ◽  
Mixed Method ◽  
Interpersonal Conflict ◽  
Organizational Factors ◽  
Structured Interviews ◽  
Contributing Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Interpersonal Conflicts ◽  
Factors Influencing

Purpose The purpose of this paper is to develop and analyze a model of factors influencing interpersonal conflicts. Design/methodology/approach This research was conducted using a mixed method approach. In the qualitative study, the conceptual model of the factors affecting interpersonal conflicts was extracted from semi-structured interviews with 17 relevant experts using a theme analysis technique. Then, three hypotheses were developed based on the model and relevant theoretical evidence. Using a researcher-made questionnaire which was developed earlier based on the qualitative results, a quantitative-based survey was performed to assess the interpersonal conflicts and also the standard scale of the level of interpersonal conflicts (Jehn, 1997). The hypotheses were tested on a sample of 160 employees of Chaharmahal and Bakhtiari Province Gas Company (CBPGC). Findings The results of the qualitative study indicated that individual factors including personality dimensions and individual differences; organizational factors including five dimensions of organizational culture, organizational structure, management characteristics, intra-organization factors and human resource systems; and environmental factors influenced the creation of interpersonal conflicts. The results of the quantitative study indicated that organizational factors with an effect size of 0.502 were identified as the most important factor influencing interpersonal conflicts. Research limitations/implications The findings of this study can provide a roadmap to managers of the CBPGC to be aware of the contributing factors to conflict within their organization. Originality/value The use of mixed method to identify the causes and factors of interpersonal conflict and analyzing a context different from previous studies can be considered as the innovations of this study.

Promoting a revamped CRM through Internet of Things and Big Data: an AHP-based evaluation

2020 ◽  
Vol 28 (1) ◽  
pp. 66-91 ◽  
Author(s):  
Mohamad Abu Ghazaleh ◽  
Abdelrahim M. Zabadi
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Customer Service ◽  
Assessment Model ◽  
Analytic Hierarchy ◽  
Business Decision ◽  
Content Type ◽  
Factors Influencing ◽  
New Frontier ◽  
The Impact

Purpose Internet of things (IoT) and big data (BD) could change how the societies function. This paper explores the role of IoT and BD and their impact on customer relationship management (CRM) investments in modern customer service. The purpose of this paper is to develop an analytic hierarchy planning framework to establish criteria weights and to develop a general self-assessment model for determining the most important factors influencing the IoT and BD investment in CRM. The authors found that most studies have focused on conceptualizing the impact of IoT without BD and with limited empirical studies and analytical models. This paper sheds further light on the topic by presenting both IoT and BD aspects of future CRM. Design/methodology/approach The analytic hierarchy process (AHP) methodology is used to weight and prioritize the factors influencing the IoT and BD investment in modern CRM in the service industry. The AHP framework resulted in a ranking of 21 sustainability sub-factors based on evaluations by experienced information technology and customer service professionals. Findings The paper provides significant insight on the new frontier of CRM, focusing on the use of IoT and BD and the respective solutions to address them were identified. This study primarily contributes in providing the process of effectively managing and implementing IoT and BD in big businesses by identifying the connecting link between firms and customers. Practical implications The understanding of new frontier of CRM connective via IoT and BD can solve the dilemmas and challenges linked to the practice of implement IoT and BD in the information systems field. The study provides valuable information and critical analysis of IoT and BD with regard to the integration of CRM. Finally, this study further provides directions for future researchers. Originality/value IoT and BD are a growing phenomenon, which business decision-makers and information professionals need to consider seriously to properly ascertain the modern CRM dimensions in the digital economies. They also should embrace the proper CRM innovation, which is powered by IoT and BD, and discover how IoT and BD can bring the next level of maturity to CRM “CRM of everything.”

Research on software synchronization method of real-time ethernet distributed motion control system

2019 ◽  
Vol 39 (5) ◽  
pp. 904-916
Author(s):  
Zhengyu Huang ◽  
Lingyu Chen ◽  
Lianchao Zhang ◽  
Shixun Fan ◽  
Dapeng Fan
Keyword(s):  
Control System ◽  
Real Time ◽  
Motion Control ◽  
Key Factors ◽  
Motion Control System ◽  
Content Type ◽  
Factors Affecting ◽  
Synchronization Method ◽  
Factors Influencing ◽  
Synchronization Performance

Purpose This paper aims to analyze the key factors influencing the synchronization performance of distributed motion control system and to improve the synchronization performance for peripherals control of this system. Design/methodology/approach This paper deals with the software synchronization problems of distributed motion control system based on real-time Ethernet. First, combined with communication and control tasks, the key factors affecting synchronization performance of system are analyzed. Then, aiming at key factors and considering the synchronization of system bus, protocol conversion and task scheduling, a software synchronization method based on CANopen protocol and real-time Ethernet is proposed. Finally, the feasibility of this method is verified by establishing distributed motion control system and testing the synchronization performance of terminal control signals of slaves. Findings Based on this method, the results show that the synchronization accuracy for peripherals control of all slaves could be about 100 ns. Practical implications This research provides high-precision synchronization method, which could lay a foundation for the application of distributed motion control system in the field of assembly automation, such as multi-axis assembly robots control. Originality/value In distributed motion control system, many factors affect the synchronization performance. At present, there is no synchronization method that could comprehensively consider these factors. This paper not only analyzes the key factors influencing the synchronization performance of system but also proposes a synchronization method. Therefore, the method proposed in this paper has certain theoretical value and engineering significance.

Prominent demotivational factors influencing the productivity of construction project managers in Qatar

2014 ◽  
Vol 63 (8) ◽  
pp. 1070-1090 ◽  
Author(s):  
Abdulaziz M. Jarkas ◽  
Milan Radosavljevic ◽  
Liu Wuyi
Keyword(s):  
Construction Project ◽  
Project Managers ◽  
The State ◽  
Relative Importance ◽  
Productivity Level ◽  
Content Type ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Technical Specifications ◽  
The Impact

Purpose – An extensive search of the literature revealed a dearth of research on the demotivational factors affecting the performance and productivity level of site-based construction project managers. Following the announcement of awarding the FIFA 2022 World Cup hosting rights to the State of Qatar, the State is pledging to spend tens of Billions of Dollars on hundreds of new construction projects. Therefore, the purpose of this paper is to identify, explore, and rank the relative importance of the demotivational factors influencing the productivity of the State's construction management force. Design/methodology/approach – A structured questionnaire survey comprising 38 potential demotivational factors, which were shortlisted based on relevant previous studies on the impact of motivation on construction productivity, and numerous interviews with local industry professionals, was distributed to a relatively large sample of site-resident project managers. Using the “Relative Importance Index” technique, the influence ranks of the factors explored were determined. Findings – The results obtained reveal the following as the prominent demotivational factors influencing the productivity of construction project managers: lack of financial incentive schemes; slow decision-making process by owners; remuneration scale; delay in responding to Requests For Information (RFI); shortage of skilled labour force; shortage of materials; clarity and completeness of technical specifications; frequent changing orders during execution; drawings quality level; and rework. Research limitations/implications – It is clear, based on the outcomes, that the cultural background of individuals, and the prevalent practices within the environment in which they operate, are two critical factors in determining their motivation drivers. Hence, it is prudent to explore the dominant culture and values of the management workforce, in addition to the characteristics of the working environment, before trying to apply relevant motivational theories, or even implement new management strategies. Practical implications – The results demonstrate that, within the geographical setting and cultural aspects of the sample surveyed, “tributes” and “pecuniary” may be interpreted to have the largest effect on the productivity of construction project managers. Originality/value – The findings not only contribute to the overall body of knowledge related to the effect of the motivation phenomenon on the productivity of the construction operation, but can also be used to provide industry practitioners with guidance for focusing, acting upon, and controlling the significant demotivational factors affecting the efficiency of the construction project management force practicing in State.

scholarly journals Identifying key effective factors on the implementation process of business intelligence in the banking industry of Iran

2017 ◽  
Vol 7 (3) ◽  
Author(s):  
Salah Rezaie ◽  
Seyed Javad Mirabedini ◽  
Ataollah Abtahi
Keyword(s):  
Business Intelligence ◽  
Banking Industry ◽  
Implementation Process ◽  
Survey Study ◽  
Snowball Sampling ◽  
Statistical Population ◽  
Factors Affecting ◽  
Effective Factors ◽  
Fuzzy Delphi ◽  
Statistical Sample

Though many organizations have turned to developing and using businessintelligence systems, not all have been successful in implementing such systems. These systemshave social-technical dimensions with many elements and are very complicated. Numerousstudies have been carried out on implementation and employment of business intelligence, butin the past studies only specific aspects and dimensions have been addressed. The aim of thisstudy is to identify key factors in the implementation process of business intelligence in theIranian banking industry. The present research is objectively applied as a survey study inimplementation strategy. Also it is a descriptive study in terms of the research plan and datacollection where two documentary and field study methods have been used for collecting data.The statistical population of this study comprises experts and professionals in informationtechnology who are active in implementing solutions for business intelligence in the bankingindustry of Iran. In this study, 16 people were chosen based on non-random judgment samplingcombined with targeted and snowball sampling as a statistical sample and their viewpointswere extracted and refined using the Fuzzy Delphi Technique. First through studying pastresearch records and reviewing literature of effective factors in implementing businessintelligence process, 37 factors were identified. Then by implementing five rounds of the FuzzyDelphi Technique, 39 factors were confirmed as significant among 37 factors affecting thebusiness intelligence implementation process in past studies and 10 factors proposed by experts.Also, these 39 factors were classified in nine main groups including organizational, human, dataquality, environmental, system ability, strategic, service quality, technical infrastructure, andmanagerial factors. Managers and executives of business intelligence projects in Iran's bankingindustry can achieve the given objectives and results by considering such significant factors inplanning and taking measures related to effective implementation of business intelligence.

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