درخت حوزه‌های تخصصی

Purpose: Evaluation of employee performance plays an effective role in organizational productivity and effectiveness. As a result, the purpose of this study was identification the components of evaluation of employee performance smart pattern. Methodology: This study in terms of purpose was applied and in terms of implementation method was qualitative. The research population was specialist managers and experts evaluation of employee performance of the bank of industry and mine in 2020 year, which according to the principle of theoretical saturation number of 16 people was selected by purposeful sampling method. The research tool was a semi-structured interview, which whose validity was confirmed by the triangulation method and its reliability was calculated by the agreement coefficient method between the two coders 0.82. Finally, data were analyzed based on open, axial and selective coding methods. Findings: The findings showed that components of evaluation of employee performance smart pattern had 50 open codes in 12 axial codes and 3 selective codes. The selective codes included the factors of functional (with 4 axial codes of optimal function, quality of work, active and effective participation in meetings and planning, forearm and follow-up), job behavior (with 7 axial codes of observing administrative regulations and discipline, proper behavior and encounter with clients and colleagues, cooperation and accountability, analysis of issues and providing appropriate solutions, self-propulsion and innovation, increased job information and skills and information transfer) and ethical behavior (with 1 axial code of observing ethics and Islamic behavior). Finally, according to the identified components, the evaluation of employee performance smart pattern was painted. Conclusion: The results of this research have practical implications for the specialists and officials of the Bank of Industry and Mine, and they with the help of identified components for evaluation of employee performance smart pattern can provide the ground for improving the performance of the organization.

Purpose: The present research was performed to design interactive model of digital marketing in the area of online service startups based on mobile commerce in modern sociology. Methodology: This study was of fundamental type regarding the objective, and combined type regarding the method of implementation (qualitative and quantitative). The research population consisted of experts familiar with the issue in Hormozgan province in 2020, out of whom 20 were chosen as the sample through purposeful sampling method as the sample. The research instrument of the qualitative part was based on domestic and international research, wide the research instrument for the quantitative section was a 20- item questionnaire based on the qualitative part. In the qualitative section, using fuzzy Delphi method, the factors were identified and confirmed or screened, while they were ranked in the quantitative section using fuzzy DANP method. Findings: The results indicated that after three rounds of fuzzy Delphi, 15 indices were identified across six elements including technical/technological, personal user, social, customer orientation, perceived value, and reliability. Other results based on the fuzzy DANP method indicated that the user personal elements, plus social elements, reliability, perceived value, technological/technical, and customer orientation had the largest weights respectively. In addition, validity, personal innovation, and online experience claimed the first to third ranks in terms of weight. Conclusion: The results indicated the effective role of three elements of personal user, social, and reliability in comparison to other elements, which could be exploited by managers and planners to improve digital marketing based on mobile commerce.