Utilising ontology for “heteregeneous data analysis in organizational goals”

2019 ◽  
Vol 15 (3) ◽  
pp. 310-323
Author(s):  
Tengku Adil Tengku Izhar ◽  
Bernady O. Apduhan ◽  
Torab Torabi
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Design Methodology ◽  
Decision Making Process ◽  
Time Data ◽  
Content Type ◽  
Organizational Goals ◽  
Dependency Relationship ◽  
Operational Level ◽  
The Relationship

Purpose The purpose of this paper is to assess the level of the organizational goal accomplishment by assessing the reliance relationship between organizational data and organizational goals. Design/methodology/approach The evaluation of the organizational goals is based on design and operational level, which can serve in ranking of the organizational goals achievement and hence assist the decision-making process in achieving the organizational goals. To achieve this aim, the authors propose an ontology to develop the relationship between organizational data and organizational goals. Findings Data goals dependency shows the dependency relationship between organizational data and organizational goals. At the same time, data goals dependency assists the process of identifying data attributes, where the authors suggest that these data attributes are relevant in relation to the organizational goals. Originality/value The contribution of this paper will serve as the first step to evaluate the relevance of organizational data to assist decision-making in relation to the organizational goals.

The Ecovillage of Pescomaggiore (L’Aquila)

2019 ◽  
Vol 28 (4) ◽  
pp. 513-526 ◽  
Author(s):  
Isabella Tomassi ◽  
Giuseppe Forino
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Community Building ◽  
Lead Author ◽  
Decision Making Process ◽  
Community Members ◽  
Content Type ◽  
Disaster Studies ◽  
The Relationship ◽  
Post Disaster

PurposeThe purpose of this paper is to aim at exploring the relationship between community building and the changes occurred in the context of a post-disaster self-built ecovillage (EcoVillaggio Autocostruito(EVA)), spontaneously born after the L’Aquila earthquake in 2009. The community eventually dissolved in 2014, following a series of changes in the organization, that resulted in an increasingly centralized decision-making process, and in individual and community relationships, that were fueled by conflicts and contrasts.Design/methodology/approachThrough a self-ethnography method, the paper provides the insider perspective of the lead author who was a part of EVA since the beginning. Self-ethnography allowed developing a narrative of EVA across its life course.FindingsFindings reveal that the community into EVA was initially pursuing community-building goals through self-construction, sustainability, mutuality and reciprocity relationships out of market. However, several events occurred and changed community goals, organization and decision making. Eventually, individual goals and vertical decision making emerged among the community members, leading to the death of EVA.Research limitations/implicationsThe paper just considered those main events that marked the collective and individual life of the lead author since the beginning until the end of the ecovillage. Others events, equally important, were not considered due to word length. In addition, self-ethnography is still considered by some authors as a subjective method.Originality/valueThe paper is one of the few exploring community experiences into post-disaster ecovillages. Moreover, there are no papers investigating post-disaster ecovillages through a self-ethnography approach. Therefore, the paper offers an innovative and original perspective on the under-investigated topic of post-disaster ecovillages and employs a promising research method in disaster studies.

Evaluation of barriers in the adoption of halal certification: a fuzzy DEMATEL approach

2019 ◽  
Vol 14 (1) ◽  
pp. 153-174 ◽  
Author(s):  
Shahbaz Khan ◽  
Mohd Imran Khan ◽  
Abid Haleem
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Specific Region ◽  
Integrative Approach ◽  
Decision Making Process ◽  
Management Support ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Certification System ◽  
Expert’S Opinion

PurposeHigher level of customer satisfaction for halal products can be achieved by the effective adoption of halal certification through assessment and accreditation (HCAA). There are certain issues that seem detrimental towards the adoption of HCAA. The purpose of this paper is to identify the major barriers towards the adoption of HCAA and evaluate inter-relationships among them for developing the strategies to mitigate these barriers.Design/methodology/approachThe barriers towards the adoption of HCAA are identified through an integrative approach of literature review and expert’s opinion. The inter-relationship among the identified barriers is evaluated using fuzzy-based decision-making trial and evaluation laboratory (fuzzy DEMATEL) technique, which categorises them into influential and influenced group.FindingsThe evaluation of inter-relationship among barriers using fuzzy DEMATEL indicates four influencing barriers and six influenced barriers towards the adoption of HCAA. Further, findings suggest an extensive government, and management support is vital in terms of commitment, resources and actions to realise the benefits attributed with HCAA.Research limitations/implicationsThe inter-relationship among barriers is contextual and based on the perception of experts which may be biased as per their background and area of expertise. This study pertains to a specific region and can be extended to the generalised certification system.Originality/valueThe empirical base of the research provides the inter-relationship among the barriers towards the adoption of HCAA which can be effectively used as input in the decision-making process by producers, manufacturers and distributor. The policy maker can analyse the cause group and effect group of barriers to formulate policies that would help in the adoption of HCAA.

Evaluation of the adaptive reuse potential of historic buildings and proposition of preventive-protective measures

2020 ◽  
Vol 38 (3) ◽  
pp. 493-507
Author(s):  
Ali Asghar Sharifi ◽  
Amir Hossein Farahinia
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Qualitative Method ◽  
Adaptive Reuse ◽  
Decision Making Process ◽  
Historic Buildings ◽  
Protective Measures ◽  
Content Type ◽  
Viable Solution ◽  
Useful Life

PurposeThis study aims to render a pattern for heritage restoration in the context of reusing historic buildings, to assist the authorities with decision-making process on the most appropriate time during the building’s life cycle. Here, the adaptive reuse potential (ARP) model is used to find the most appropriate time for adaptive reuse and calculating the useful life as well as the potentiality of the Amir Nezam House so a viable solution can be put forward.Design/methodology/approachIn this research, a quantitative and qualitative method is adopted to evaluate the useful life and potentiality of the Amir Nezam House of Tabriz to determine the most appropriate time for next intervention.FindingsResults show that the potential (ARP score) of the Amir Nezam House is increasing, the value of which will be greater than 50 percent by the next few years. Evaluations show that the most appropriate time for further intervention is the year 2035.Originality/valueThe significance of this research lies within the objective of proposing a preventive and protective schedule for historic buildings before they reach their life expectancy with an emphasis on environmental, economic, social and functional sustainability as well as environmental impacts. ARP model has been applied to implement this concept in the Amir Nezam House, Tabriz, Iran.

Consumer decision-making in a retail store: the role of mental imagery and gender difference

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jung-Hwan Kim ◽  
Minjeong Kim ◽  
Jungmin Yoo ◽  
Minjung Park
Keyword(s):  
Decision Making ◽  
Mental Imagery ◽  
Decision Making Process ◽  
Consumer Decision Making ◽  
Consumer Decision ◽  
Content Type ◽  
Perceived Ownership ◽  
Decision Satisfaction ◽  
The Relationship

PurposeThe purpose of the study is to investigate how mental imagery evoked from sensory in-store experience influences consumer anticipatory emotion, perceived ownership and decision satisfaction which eventually impact positive consumer responses such as behavioural intent. In this study, gender difference is proposed as a moderator to completely understand the role of mental imagery in the in-store decision-making process.Design/methodology/approachUsing a market research agency in South Korea, an online survey was employed to collect data. A total of 455 useable respondents (men = 224 and women = 231) largely living in the two most populous provinces in South Korea (i.e. Seoul and Gyeonggi provinces) completed the survey. A number of path analyses were conducted to test hypotheses.FindingsThe results of the study showed that mental imagery evoked from sensory product experience played a critical part in facilitating the consumer decision-making process by influencing anticipatory emotion and perceived ownership. The relationship among anticipatory emotion, perceived ownership, decision satisfaction and behavioural intent was significant except for the relationship between perceived ownership and behavioural intent. This study further indicated that the way mental imagery influences the in-store decision-making process differs between men and women.Originality/valueThe effect of mental imagery in a physical retail context is largely ignored. This study addressed the crucial role of mental imagery in a physical apparel retail setting and examined its impact on consumer decision-making processes. By exploring how to enhance consumers' in-store sensory shopping experiences through mental imagery to influence their positive shopping outcomes, this study offers vital insights into how retailers operating physical stores can successfully utilize their stores.

The role of heuristic-driven biases in entrepreneurial strategic decision-making: evidence from an emerging economy

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maqsood Ahmad ◽  
Syed Zulfiqar Ali Shah ◽  
Yasar Abbass
Keyword(s):  
Decision Making ◽  
Emerging Economy ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Decision Making Process ◽  
Strategic Decisions ◽  
Content Type ◽  
The Relationship

PurposeThis article aims to clarify the mechanism by which heuristic-driven biases influence the entrepreneurial strategic decision-making in an emerging economy.Design/methodology/approachEntrepreneurs' heuristic-driven biases have been measured using a questionnaire, comprising numerous items, including indicators of entrepreneurial strategic decision-making. To examine the relationship between heuristic-driven biases and entrepreneurial strategic decision-making process, a 5-point Likert scale questionnaire has been used to collect data from the sample of 169 entrepreneurs who operate in small- and medium-sized enterprises (SMEs). The collected data were analyzed using SPSS and Amos graphics software. Hypotheses were tested using structural equation modeling (SEM) technique.FindingsThe article provides empirical insights into the relationship between heuristic-driven biases and entrepreneurial strategic decision-making. The results suggest that heuristic-driven biases (anchoring and adjustment, representativeness, availability and overconfidence) have a markedly negative influence on the strategic decisions made by entrepreneurs in emerging markets. It means that heuristic-driven biases can impair the quality of the entrepreneurial strategic decision-making process.Practical implicationsThe article encourages entrepreneurs to avoid relying on cognitive heuristics or their feelings when making strategic decisions. It provides awareness and understanding of heuristic-driven biases in entrepreneurial strategic decisions, which could be very useful for business actors such as entrepreneurs, managers and entire organizations. Understanding regarding the role of heuristic-driven biases in entrepreneurial strategic decisions may help entrepreneurs to improve the quality of their decision-making. They can improve the quality of their decision-making by recognizing their behavioral biases and errors of judgment, to which we are all prone, resulting in a more appropriate selection of entrepreneurial opportunities.Originality/valueThe current study is the first to focus on links between heuristic-driven bias and the entrepreneurial strategic decision-making in Pakistan—an emerging economy. This article enhanced the understanding of the role that heuristic-driven bias plays in the entrepreneurial strategic decisions and more importantly, it went some way toward enhancing understanding of behavioral aspects and their influence on entrepreneurial strategic decision-making in an emerging market. It also adds to the literature in the area of entrepreneurial management specifically the role of heuristics in entrepreneurial strategic decision-making; this field is in its initial stage, even in developed countries, while, in developing countries, little work has been done.

Strategic decision-making

2018 ◽  
Vol 41 (1) ◽  
pp. 2-28 ◽  
Author(s):  
Satyanarayana Parayitam ◽  
Chris Papenhausen
Keyword(s):  
Decision Making ◽  
Conflict Management ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Decision Making Process ◽  
Content Type ◽  
Decision Outcomes ◽  
Seeking Behavior ◽  
The Relationship

Purpose This paper aims to investigate the effect of cooperative conflict management on agreement-seeking behavior, agreement-seeking behavior on decision outcomes, moderating role of competence-based trust on the relationship between agreement-seeking behavior and decision outcomes, and mediating role of agreement-seeking behavior between cooperative conflict management and decision outcomes. Design/methodology/approach Using a structured survey instrument, this paper gathered data from 348 students enrolled in a strategic management capstone course that features strategic decision-making in a simulated business strategy game. The data from 94 teams were collected from the student population using a carefully administered instrument. The data were aggregated after running the inter-rater agreement test and the analyzed to test the hypotheses. Findings The results from the hierarchical regression of the complex moderated mediation model reveal that cooperative conflict management is positively related to agreement-seeking behavior, and agreement-seeking behavior mediates the relationship between cooperative conflict management and decision outcomes. The results also suggest that competence-based trust acts as a moderator in the relationship between agreement-seeking behavior and decision quality; agreement-seeking behavior and team effectiveness, and agreement-seeking behavior and decision commitment. Results also support mediation of agreement-seeking behavior between cooperative conflict management and decision outcomes. Research limitations/implications The present research is based on self-report measures, and hence, the limitations of social desirability bias and common method bias are inherent. However, adequate care is taken to minimize these limitations. The research has implications for the strategic decision-making process literature. Practical implications In addition to the strategic management literature, this study contributes to practicing managers. The study suggests that competence-based trust plays a vital role in decision effectiveness. Administrators need to select the members in the decision-making process who have competence-based trust on one another and engage in agreement-seeking behavior. Social implications The findings from the study help in creating a fruitful social environment in organizations. Originality/value This study provides new insights about the previously unknown effects of cooperative conflict management and agreement-seeking behavior in strategic decision-making process.

An enhanced algorithm for calculating the degree of greyness of interval grey numbers and its application

Kybernetes ◽  
2019 ◽  
Vol 49 (6) ◽  
pp. 1721-1740
Author(s):  
Shuaishuai Geng ◽  
Yu Feng ◽  
Yaoguo Dang ◽  
Junjie Wang ◽  
Rizwan Rasheed
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Decision Making Process ◽  
Content Type ◽  
Operational Mechanism ◽  
Operation Process ◽  
Algebraic Operations ◽  
Grey Number ◽  
Operation Results ◽  
Selection Of

Purpose This paper aims to propose an enhanced algorithm and used to decision-making that specifically focuses on the choice of a domain in the calculation of degree of greyness according to the principle of grey numbers operation. The domain means the emerging background of interval grey numbers, it is vital for the operational mechanism of such interval grey numbers. However, the criteria of selection of domain always remain same that is not only for the calculated grey numbers but also for the resultant grey numbers, which can be assumed as unrealistic up to a certain extent. Design/methodology/approach The existence of interval grey number operation based on kernel and the degree of greyness containing two calculation aspects, which are kernel and the degree of greyness. For the degree of greyness, it includes concepts of domain and calculation of the domain. The concepts of a domain are defined. The enhanced algorithm is also comprised of four deductive theorems and eight rules that are linked to the properties of the enhanced algorithm of the interval grey numbers based on the kernel and the degree of greyness. Findings Aiming to improve the algorithm of the degree of greyness for interval grey numbers, based on the variation of domain in the operation process, the degree of greyness of the operation result is defined in this paper, and the specific expressions for algebraic operations are given, which is relevant to the kernel, the degree of greyness and the domain. Then, these expressions are used to the algorithm of interval grey numbers based on the kernel and the degree of greyness, improving the accuracy of the operation results. Originality/value The enhanced algorithm in this paper can effectively reduce the loss of information in the operation process, so as to avoid the situation where the decision values are the same and scientific decisions cannot be made during the grey evaluation and decision-making process.

Evidence on rationality and behavioural biases in investment decision making

2016 ◽  
Vol 8 (4) ◽  
pp. 270-287 ◽  
Author(s):  
Satish Kumar ◽  
Nisha Goyal
Keyword(s):  
Decision Making ◽  
Path Model ◽  
Decision Making Process ◽  
Individual Investors ◽  
Significant Implication ◽  
Rational Decision ◽  
Content Type ◽  
Rational Decision Making ◽  
Significant Difference ◽  
The Relationship

Purpose The purpose of this paper is to investigate the relationship between rational decision-making and behavioural biases among individual investors in India, as well as to examine the influence of demographic variables on rational decision-making process and how those differences manifest themselves in the form of behavioural biases. Design/methodology/approach Using a structured questionnaire, a total of 386 valid responses have been collected from May to October 2015. Statistical techniques like t-test, analysis of variance (ANOVA) and Fisher’s least significant difference (LSD) test have been used in this study. Structural equation modelling (SEM) has been used to analyse the relationship between rational decision-making and behavioural biases. Findings The findings show that the structural path model closely fits the sample data, indicating investors follow a rational decision-making process while investing. However, behavioural biases also arise in different stages of the decision-making process. It further explores that gender and income have a significant difference with respect to rational decision-making process. Male investors are more prone to overconfidence and herding bias in India. Research limitations/implications The findings of the study have significant implication for the individual investors. It is recommended that if individuals are aware about the biases, they may become alert before taking irrational investment decisions. Originality/value To best of the authors’ knowledge, the present study is a first of its kind to investigate the relationship between rational decision-making and behavioural biases among individual investors in India.

Taking librarians off the desk: one library changes its reference desk staffing model

2015 ◽  
Vol 16 (1) ◽  
pp. 18-27 ◽  
Author(s):  
Timothy Peters
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Statistical Data ◽  
Decision Making Process ◽  
Service Model ◽  
Content Type ◽  
Staffing Model ◽  
Central Michigan University ◽  
Reference Service

Purpose – This paper is a case study of the decision at Central Michigan University to take librarians off the reference desk. Departmental data on reference desk traffic and other ancillary functions of the reference department was used to make the case for removing the librarians from the desk. Data collected since the decision was made has supported the decision to move to an on-call reference desk staffing model. The paper aims to discuss these issues. Design/methodology/approach – The department reviewed and analyzed data on reference desk transactions of all types from previous years to inform its decision making. Data trends and an analysis of the nature of the questions asked at the reference desk were instrumental in the analysis. Findings – The department determined that the statistical data justified the removal of the librarians from the reference desk. Data collected since moving to the on-call model supports the earlier decision. Originality/value – This paper provides libraries considering their own desk staffing models with a discussion of another library’s decision-making process and evidence of a successful migration to a new reference service model.

Reducing construction material cost by optimizing buy-in decision that accounts the flexibility of non-critical activities

2018 ◽  
Vol 25 (8) ◽  
pp. 1092-1108 ◽  
Author(s):  
Junna Meng ◽  
Jinghong Yan ◽  
Bin Xue ◽  
Jing Fu ◽  
Ning He
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Design Methodology ◽  
Construction Material ◽  
Decision Making Process ◽  
Content Type ◽  
Material Cost ◽  
Starting Date ◽  
The Right ◽  
Start Dates

Purpose The goal of making buy-in decisions is to purchase materials at the right time with the required quantity and a minimum material cost (MC). To help achieve this goal, the purpose of this paper is to find a way of optimizing the buy-in decision with the consideration of flexible starting date of non-critical activities which makes daily demand adjustable. Design/methodology/approach First, a specific algorithm is developed to calculate a series of demand combinations modeling daily material demand for all the possible start dates. Second, future material prices are predicted by applying artificial neural network. Third, the demand combinations and predicted prices are used to generate an optimal buy-in decision. Findings By comparing MC in situation when non-critical activities always start at the earliest date to that in situations when the starting date is flexible, it is found that making material buy-in decision with the consideration of the flexibility usually helps reduce MC. Originality/value In this paper, a material buy-in decision-making method that accounts non-critical activities’ flexible starting date is proposed. A ternary cycle algorithm is developed to calculate demand combinations. The results that making material buy-in decision considering non-critical activities’ flexible starting date can reduce MC in most times indicates that contractors may consider non-critical activities’ flexibility a part of the buy-in decision-making process, so as to achieve an MC decrease and profit increase.

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