Empirical analysis of doctoral candidates’ innovative personality model based on grey target decision making

2019 ◽  
Vol 10 (1) ◽  
pp. 12-24
Author(s):  
Caiyun Sun
Keyword(s):  
Decision Making ◽  
Quantitative Research ◽  
Reliability And Validity ◽  
Practical Significance ◽  
Personality Factors ◽  
Personality Factor ◽  
Content Type ◽  
Model Based ◽  
Individual Personality ◽  
Doctoral Candidates

Purpose The purpose of this paper is to analyze the reliability and validity of doctoral candidates’ innovative personality model. Design/methodology/approach Based on doctoral candidates’ innovative personality model, this study took the best correlation and the worst correlation into account to predict and demonstrate their innovative ability tendencies. Matlab R2016a, a program of software programming, was used to calculate the contribution degree of each personality factor of doctoral candidates to their innovative ability tendencies. Findings The reliability and validity of doctoral candidates’ innovative personality model based on grey target theory have been verified, and the prediction for doctoral candidates’ innovative ability tendencies can be realized on the basis of this model. Practical implications Scientific and reasonable doctoral candidates’ innovative personality model can play a good guiding role, and its research results have certain practical significance for selecting innovative doctoral candidates, ensuring the training quality of doctoral candidates and cultivating the innovative ability of doctoral candidates. It can be promoted and applied on the basis of its trial operation in Jiangsu. Originality/value With regard to the relative degree of the influence of doctoral candidates’ individual personality factors, previous researchers seldom carried out the quantitative research. In this paper, the author sought a quantitative method to describe the degree of such influence and constructed the doctoral candidates’ innovative personality model based on grey target decision making. This study took the positive and negative off-target distance into account and demonstrated the rationality and validity of doctoral candidates’ innovative personality model.

Model building of doctoral candidates’ innovative ability tendency test based on gray target contribution theory

2019 ◽  
Vol 9 (1) ◽  
pp. 70-85 ◽  
Author(s):  
Caiyun Sun ◽  
Li Shi
Keyword(s):  
Design Methodology ◽  
Model Building ◽  
Factor Model ◽  
Personality Factor ◽  
Content Type ◽  
Individual Personality ◽  
Influence Degree ◽  
Doctoral Candidates ◽  
Practical Implications ◽  
Reference Tool

Purpose The purpose of this paper is to evaluate doctoral candidates’ innovative ability tendency. Design/methodology/approach This study uses the theory of gray target contribution to analyze the influence degree of doctoral candidates’ individual personality factor toward their innovative ability and calculate gray impact quantitative values. Findings Based on the theory of contribution degree of gray target, a nine-factor model of innovative personality of doctoral candidates is built. IP=f (B, H, G, Q1, Q2, A, I, F, O), (therein: B – intelligence, H – social boldness, G – perseverance, Q1 – experimental, Q2 – independence, A – gregariousness, I – sensibility, F – excitability, O – anxiety). Practical implications This study based on gray target contribution theory builds nine-factor doctoral candidates’ innovative personality model to test the innovative ability tendency of doctoral candidates, which makes cultivating units, mentors and doctoral candidates to know their innovative ability tendency well, perfecting their own knowledge structure in time, effectively improving their innovative ability. The system can also be applied to the work of doctoral candidates as a reference tool to evaluate the innovative ability of applicants. Originality/value This study quantitatively evaluates the influence of doctoral candidates’ personality index on the tendency of doctoral candidates’ innovative ability.

Moderator role of old and new Y generation differences in the effect of perceptions of self-efficiency on decision-making strategies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hasan Tutar ◽  
Ahmet Tuncay Erdem ◽  
Ömer Karademir
Keyword(s):  
Decision Making ◽  
Generation Y ◽  
Self Efficacy ◽  
Quantitative Research ◽  
Business Models ◽  
Generation Gap ◽  
Management Approach ◽  
Content Type ◽  
The Difference ◽  
New Generation

Purpose There has been a rapid generational change in the business world in Turkey recently, and X generation managers are rapidly leaving their place to Y generation managers. In countries with relatively young populations such as Turkey, management in family businesses passes into the hands of Generation Y. This study aims to examine the moderator role of the difference between old and new generation Y in the effect of self-efficacy perceptions on decision-making strategies. Design/methodology/approach This research, which was designed according to the quantitative research method, was designed according to the cross-sectional survey model, one of the general survey models. The research data were collected from a sample of 441 family business managers determined according to the simple random sampling technique. The data were analyzed and interpreted with various statistical techniques. Data analysis was done with AMOS. 20 and International Business Machines statistical package for the social sciences 22 data analysis programs. Findings According to the analysis findings, there is a significant relationship between the participants’ self-efficacy perceptions and decision-making strategies. Research findings old and new generation Y managers have different decision strategies. The research results showed that the dominant self-efficacy perceptions of the Y generation affect their decision-making strategies. Research limitations/implications This research only examines whether the old and new generation Y perceptions have a moderator function in the relationship between the participants’ self-efficacy perceptions and decision-making strategies. The research is quantitative research limited to family businesses. The results can be compared by repeating the research with other variables and in different samples, for example, by researching in public institutions. In addition, the way of reflecting the differences in perception to the management can be subjected to deeper analysis with mixed studies. Practical implications One of the important reasons for the difference in people’s approaches to events is their personality structure. Generational differences, which have been discussed primarily in recent years, make themselves felt in working life. The new working models arising from the different perspectives of the Y generation differ from the traditional business models. Today, in traditional business models, the manager profile is usually the X generation. However, the process is moving toward gaining essential positions in the management levels of the new Y generation. They put traditional managers in a difficult situation with their impatient behavior and desire to climb the career ladder quickly. Social implications In the studies conducted on the Y generation, it is understood that they do not favor the classical management approach based on the command-command relationship. The sense of loyalty of the Y generation is low compared to other generations and their organizational commitment levels are weak. There are determinations that they attach importance to flexible working style and want to do business using digital technologies. They are highly motivated in setting vision and participating in strategic decisions in organizations. These features differ significantly from the X-generation managers who adopt the traditional management approach. Originality/value Both emotional and cognitive characteristics influence decision-making behavior. The generation gap which shows common personality structures in a certain period is an important predictor of decision-making strategy. Research results and related studies significantly affect the decision strategies of the generation gap. No research has been found comparing the old and new Y generations. In this respect, it is thought that the research will contribute to theory, practice and method.

A novel GM(1,N) model based on interval gray number and its application to research on smog pollution

Kybernetes ◽  
2019 ◽  
Vol 49 (3) ◽  
pp. 753-778
Author(s):  
Pingping Xiong ◽  
Zhiqing He ◽  
Shiting Chen ◽  
Mao Peng
Keyword(s):  
Prediction Model ◽  
Practical Significance ◽  
Upper And Lower Bounds ◽  
Gray Model ◽  
Number Sequence ◽  
Mathematical Methods ◽  
Public Attention ◽  
Content Type ◽  
Model Based ◽  
Definition Of

Purpose In recent years, domestic smog has become increasingly frequent and the adverse effects of smog have increasingly become the focus of public attention. It is a way to analyze such problems and provide solutions by mathematical methods. Design/methodology/approach This paper establishes a new gray model (GM) (1,N) prediction model based on the new kernel and degree of grayness sequences under the case that the interval gray number distribution information is known. First, the new kernel and degree of grayness sequences of the interval gray number sequence are calculated using the reconstruction definition of the kernel and degree of grayness. Then, the GM(1,N) model is formed based on the above new sequences to simulate and predict the kernel and degree of the grayness of the interval gray number sequence. Finally, the upper and lower bounds of the interval gray number are deduced based on the calculation formulas of the kernel and degree of grayness. Findings To verify further the practical significance of the model proposed in this paper, the authors apply the model to the simulation and prediction of smog. Compared with the traditional GM(1,N) model, the new GM(1,N) prediction model established in this paper has better prediction effect and accuracy. Originality/value This paper improves the traditional GM(1,N) prediction model and establishes a new GM(1,N) prediction model in the case of the known distribution information of the interval gray number of the smog pollutants concentrations data.

Perceived organizational support, participation in decision making, and perceived insider status for contract workers

2017 ◽  
Vol 55 (2) ◽  
pp. 413-426 ◽  
Author(s):  
Cherng G. Ding ◽  
Chih-Kang Shen
Keyword(s):  
Decision Making ◽  
Organizational Support ◽  
Perceived Organizational Support ◽  
Reliability And Validity ◽  
Positive Influence ◽  
Hierarchical Regression ◽  
Content Type ◽  
Contract Workers ◽  
Perceived Insider Status ◽  
Participation In Decision Making

Purpose The purpose of this paper is to examine the roles of perceived organizational support (POS) and work status (regular worker/contract worker) in moderating the relationship between participation in decision making (PDM) and perceived insider status (PIS). Design/methodology/approach Data were collected with survey questionnaires that were administered to a sample of 369 employees from a case company in Taiwan, for which both regular and contract workers constitute the main workforce. After confirming the reliability and validity of the measurements, the authors conducted hierarchical regression analysis to examine the hypothesized relationships. Findings The mean PIS for regular workers is smaller than that for contract workers in the case company. For the group of contract workers, the positive influence of PDM on PIS is greater for those with lower POS than for those with higher POS. However, the negative moderating effect of POS does not exist for the group of regular workers. Originality/value This study adds to the existing literature by showing that contract workers, classified as external workers, can experience PIS, and that POS negatively moderates the positive relationship between PDM and PIS for contract workers. The managerial implications are discussed.

Grey target decision-making model of interval grey number based on cone volume

2017 ◽  
Vol 7 (2) ◽  
pp. 247-258 ◽  
Author(s):  
Lizhen Wang ◽  
Wuyong Qian
Keyword(s):  
Decision Making ◽  
Entropy Method ◽  
Maximal Entropy ◽  
Information Distortion ◽  
Content Type ◽  
Model Based ◽  
Proposed Model ◽  
Grey Number ◽  
Decision Making Model ◽  
The Impact

Purpose The purpose of this paper is to propose a grey target decision model based on cobweb area in order to overcome the effect and influence from the extreme value of the index on the decision result. However, it does not take into account the impact of the correlation between indicators on the angle of the index, and produce a certain degree decision information distortion as a result of the equal angle between the indicators. In order to solve the above problems, a novel grey decision-making model based on cone volume is proposed. Design/methodology/approach In this paper, the model uses the whitening weight function to whiten the interval grey number, and the Delphi method and the maximal entropy method are exploited to integrate the weight of the index. On the basis of this, the center of the bull’s eye, the weight and the index value are constructed as the center circle, the radius, and the high cone, respectively. The scheme is selected by the volume of the cone, the decision is made according to the order relation, and the example is utilized to prove and analyze the validity of the proposed model. Findings The results show that the proposed model can well improve the traditional grey target decision-making model from the modeling object and modeling method. Practical implications The method exposed in the paper can be used to deal with the grey target decision-making problems which characteristics are multi-indexes, and the attribute values are interval grey numbers. Originality/value The paper succeeds in overcoming the disadvantages of grey target decision making based on the target center distance and the cobweb area.

The short-run dynamics of Australian real estate investment trusts and direct real estate at the subsector level

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
James Giannarelli ◽  
Piyush Tiwari
Keyword(s):  
Decision Making ◽  
Real Estate ◽  
Practical Significance ◽  
Market Forces ◽  
Real Estate Investment ◽  
Content Type ◽  
Commercial Property ◽  
Fund Managers ◽  
Short Run ◽  
Market Factors

PurposeThis paper examines the extent of the short-run relationship between Australian real estate investment trusts (A-REITs) and direct real estate returns on both a commercial property sector and a prime and secondary grade basis, i.e. a subsector basis.Design/methodology/approachTwo-step methodology is used. First, we identify the dynamic interdependencies between A-REITs and each commercial property subsector to determine whether the returns of A-REITs lead each subsector or vice versa. Second, short-run deviations between these asset returns are estimated by measuring their individual response behaviours to changes in key economic and financial market factors that are expected to influence these returns.FindingsResults suggest that each subsector shares a unique relationship to A-REITs, given each prime and secondary grade commercial property return series varies in behaviour. Some property subsector returns can be predicted by movements in A-REIT returns, whereas returns for others move independent to changes in A-REITs. Similarly, some subsectors commove with A-REITs in response to changes in certain market factors, whereas others diverge. As such, these findings have practical significance to fund managers and portfolio selection, as each commercial subsector embodies its own exposure to A-REITs and vulnerabilities to market forces. Subsectors that commove with A-REITs in response to certain market forces may be used as substitutes in a portfolio. Alternatively, subsectors that diverge from A-REITs in response to market forces may offer diversification benefits when combined.Practical implicationsThese findings extend beyond existing research to offer critical decision-making guidance at the acquisition level, as fund managers may more closely consider the impact that prime or secondary grade properties within a given commercial sector may have on a portfolio that consists of public and private Australian real estate. Ultimately, a more informed acquisition may be carried out as consideration of a property's asset grade allows for a deeper insight into the property's risk profile and its anticipated short-run impact on a portfolio.Originality/valueThis paper extends previous studies that focus mostly on aggregate or sector-level returns by measuring REIT and real estate dynamics at the subsector level, allowing for practical significance at not only the portfolio level but crucially at the acquisition level, a pivotal decision-making stage for fund managers. This is also the first paper to study REIT and real estate causality and response patterns to changes in market factors at the Australian sector level.

Consumers’ decision-making self-efficacy for service purchases: construct conceptualization and scale

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dena Hale ◽  
Ramendra Thakur ◽  
John Riggs ◽  
Suzanne Altobello
Keyword(s):  
Decision Making ◽  
Self Efficacy ◽  
Design Methodology ◽  
Service Providers ◽  
Reliability And Validity ◽  
Order Structure ◽  
Content Type ◽  
Study Approach ◽  
Order Construct ◽  
Scale Measure

Purpose The purpose of this study is to develop and validate a scale to determine the consumer’s level of decision-making self-efficacy for a high-involved service purchase, specifically the purchase of medical insurance. One question to ask is how service providers can help consumers purchase the services that best meet their needs? Before interventions can occur, it is necessary to benchmark consumers’ perceptions of their own decision-making control and abilities. Design/methodology/approach A scale that measures consumers’ service decision-making self-efficacy was developed using the principles established for scale development validation. A four-study approach was used to reach the research objective. Findings The research consisted of four studies designed to: generate items to measure consumer service decision-making self-efficacy (CSDMSE); purify the scale and assess its dimensionality (second-order structure); establish the reliability and validity of the scale; and establish norms to provide details on its usefulness for aiding consumers with service purchases. The scale was found to be a higher-order construct, comprising three lower-order constructs. Originality/value Research suggests that consumer self-efficacy may affect their decision-making. The greater the consumer’s self-efficacy for decision-making tasks, the more efficient the decision-making process strategies are expected to be. This is the purpose for which the CSDMSE scale measure was created: to understand how, where and when service professionals can assist consumers with making appropriate service-related decisions and purchases.

scholarly journals Faktor-Faktor yang Mempengaruhi Mahasiswa/i Memilih Program Studi Pariwisata Jurusan Pariwisata di Politeknik Negeri Samarinda

1970 ◽  
Vol 1 (01) ◽  
pp. 45-54
Author(s):  
Sabalius Uhai ◽  
Rini Koen Iswandari ◽  
Musdalifah ◽  
Rina Oktavianti
Keyword(s):  
Family Support ◽  
Regression Coefficient ◽  
Personality Factors ◽  
Personality Factor ◽  
Decision Variable ◽  
Study Program ◽  
Individual Personality ◽  
Study Programs ◽  
The Individual ◽  
Coefficient Of Regression

His study aims to determine whether individual personality factors, job prospect factors, college image factors, and family support factors simultaneously influence the decision to choose a tourism study program at the Department of Tourism in Samarinda State Polytechnic? Do individual personality factors, job prospect factors, college image factors, and family support factors partially influence the decision to choose a tourism study program at the Department of Tourism in Samarinda State Polytechnic? This study uses multiple regression analysis and is used to analyze the results of the study. H1 accepted Then the individual personality factor variable has a dominant influence on the decision to choose a tourism study program. I can see that the count> table is (6,844)> (1,664) and a significant value of 0,000> 0,005. With the regression coefficient value is positive that is equal to 0, 414. I accepted then h1 the prospect of employment affects the decision to choose a tourism study program, I can see that the count> table is (2.581)> (1,664) and a significant value of 0.01 < 0.05. The regression coefficient value is positive at 0.277. H1 is accepted, then the image of the college influences the decision to choose tourism study programs. I can see that the value of dignity> table (1.432) <(1.664) With the positive coefficient of regression is 0.097 H1 is accepted then family support influences the decision to choose a study program tourism, it can be seen that the value of count> table is (2.007)> (1,664) and a significant value of 0.04 <0.05. Based on the ANOVA test, a Fcount of 45,947 can be obtained with a significant level of 0,000. Therefore, the probability is much smaller than 0.05 (0.000 <0.05) and Fcount> Table (45.947> 2.32), so it can be stated that the independent variables include individual personality factors (X1), employment prospect factors ( X2), college image factor (X3), and family support factor (X4) simultaneously or jointly influence the decision variable in choosing a tourism study program.

scholarly journals Identifying and assessing the scales of dynamic capabilities: a systematic literature review

2018 ◽  
Vol 25 (4) ◽  
pp. 390-412 ◽  
Author(s):  
Cíntia Cristina Silva de Araújo ◽  
Cristiane Drebes Pedron ◽  
Claudia Bitencourt
Keyword(s):  
Systematic Review ◽  
Quantitative Research ◽  
Dynamic Capabilities ◽  
Reliability And Validity ◽  
Organization Performance ◽  
Content Type ◽  
Quantitative Studies ◽  
The Relationship ◽  
Business Sectors ◽  
Practical Implications

Purpose The purpose of this paper is to identify the existing measure instruments for dynamic capabilities (DCs) in order to understand the tendencies of quantitative studies on DCs as well as to evaluate the reliability and validity of these scales. Design/methodology/approach To accomplish this objective, the authors conducted a systematic review of literature on DCs. Findings Main findings indicate that quantitative research works on DCs have focused on the relationship between DCs, innovation, organization performance, knowledge management and absorptive capacity. Findings also show that efforts to measure DCs quantitatively are recent and lack reliable methodology. Research limitations/implications One limitation of this research is that the authors conducted the systematic review on two databases. However, the authors conducted the research on the two most used databases in management research. Practical implications Findings show that academicians have plenty of room to work on quantitative research works on DCs as well as to develop robust scales to measure this construct in diverse business sectors. Originality/value This paper is the first to analyze the existing scales that measure DCs.

scholarly journals The mediating role of competitive orientation in determining self-construal in unethical decision-making

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
D.M. Sachinthanee Dissanayake
Keyword(s):  
Decision Making ◽  
Quantitative Research ◽  
Relational Self ◽  
Sri Lankan ◽  
Content Type ◽  
Mediating Role ◽  
Self Construal ◽  
Collective Self ◽  
Unethical Decision Making

PurposeThe ethics literature has focused on the influence of self-construal dimensions on unethical decision-making. However, the literature is unclear about why these self-construal dimensions (Independent-self, Relational-self, Collective-self) impact differently on unethical decision-making. Based on the theory of cooperation and competition, this study empirically examines the mediating role of competitive orientation and addresses the theoretically unexplained question of why self-construal dimensions influence differently on unethical decision-making.Design/methodology/approachBased on the deductive approach, a quantitative research study was conducted on the Sri Lankan banking industry because there have been many instances of unethical behavior reported in this sector lately. Data were collected from 305 bank branch managers using a structured survey questionnaire.FindingsThe findings revealed that competitive orientation mediates the self-construal dimensions and explained that competitive orientation is one reason why independent-self, relational-self and collective-self influence differently on unethical decision-making.Originality/valueThis paper addresses the unanswered question of why self-construal dimensions relate to unethical decision-making differently.

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