Designing a Job Crafting Model Based on Interpretive Structural Modeling

Extended AbstractAbstract Job crafting is a deconstructive concept that transcends the traditional view of human resource knowledge about job design. It is process through which employees play an active role in how their work is transformed. The objective of the present study is to design an interpretive structural model of job crafting. After identifying the preconditions for job crafting and including them in the semi-closed questionnaire, the questionnaire was distributed among 18 heads of units and experts of the National Oil Company of Kerman Province who were identified through conceptual sampling and snowballs. The data were analyzed through MATLAB 9 and Mick Mac 2 software. Finally, 16 variables at 8 levels, including entrepreneurial orientation, self-efficacy and social skills, job motivation, job independence, job security and organizational identity, job position and perceived organizational support, psychological capital, transformational leadership, servant leadership, employee leadership, leadership empowerment, two-way leadership, dynamic personality, were identified as preconditions for job crafting.IntroductionIn the recent past, a person's relationship with his job was analyzed based on job design theories. The prevailing perception is that employees perform their duties according to the managers' definition of the job, and employees in similar jobs perform their duties in the same way and do not play an active role in how their jobs are transformed. So far, no complete research has been done on the preconditions of job crafting and how it is formed in the employees of the organizations. Case study National Company for Distribution of Petroleum Products in Kerman ProvinceMaterials and Methods This research is applied in terms of research orientation, descriptive in terms of purpose, and mixed in terms of research philosophy. To select the team of experts—since the purpose of generalizing the results was not mentioned—purposeful sampling method was used. The criteria for selecting experts were theoretical mastery, practical experience, willingness and ability to participate in research and access. Considering these criteria and also achieving theoretical saturation in the data coding process, eventually the number of experts with whose cooperation the research process was conducted, reached 18 people. Data collection was obtained through library studies, review of documents, in-depth interviews and questionnaires. The data were also analyz