PRODUCTIVITY MANAGEMENT (BEYOND MANAGEMENT)
Year:2021 | Volume:14 | Issue:55|Papers Count:8

The purpose of this quantitative study was to identify the effective factors in the developed model of human capital productivity in the Islamic Republic of Iran Navy through Structural Equation Modelling. The research data were collected based on a researcher-made questionnaire that was administered to a sample of 30 participants selected purposefully from the population of commanders of Naval Areas and Bases. The findings indicated that the organizational environment design and deployment as well as the human resource planning, recruitment and maintenance factors had positive significant effects on the core of human resource productivity. Moreover, managerial and educational mechanisms were found to have positive and significant effects on the practical and interactive strategies of human resource productivity. Factors positively and significantly impacting human resource productivity were found to be competition consequences and organizational performance improvement, the quality of organizational missions, performance satisfaction and skill enrichment. Finally, the human resource recruitment and maintenance and planning mechanisms were found to have positive and significant effect on staff productivity consequences.

This applied qualitative meta-analysis study explored the relationship between intellectual capital and human resource productivity. The research population comprised 50 dissertations, thesis and articles out of which a sample of 13 was purposefully selected to be analyzed. Expert consensus was employed to verify the identification reliability of the selection, categorization of the research data and the reliability of the coding system used. The significance and effect size reliability was checked via expert agreement of two meta-analyzers on effect size calculation. The results of the met-analysis revealed that intellectual capital was correlated with human resource productivity as a moderator variable. It was also found that among the 26 effect size figures calculated, 15 were high (< 0. 5), four were low (from 0. 1 to 0. 3) and 7 were medium (from 0. 3 to 0. 5). Also, the results indicated that structural and human dimensions had respectively the greatest effect size with regard to their relationship with human resource productivity.

Nowadays, inter-organizational relationships and market expansion through mutual cooperation is gaining ground as an important factor that can increase organizational capabilities and boost organizational expansion. The role of small and medium-sized companies in meeting the market needs of large companies is thus a promising topic. The current study set out to design a model for empowering small and medium-sized enterprises based on the capabilities of large companies. To this end, the network of inter-organizational communications was initially identified and analyzed based on Social Network Analysis approach. The central network issues were initially identified and, a model was designed, informed by the strengths and weaknesses of small and medium-sized enterprises, for their empowerment by large companies based on Grounded theory. To serve the purpose of designing the final model, the research data were coded through open, pivotal and selective coding systems. The findings from current study can help the identification and analysis of current collaborative networks and provide a model to enhance these collaborations.

Nowadays, Research and Development (R&D) units are the core of research activities in the industry sector and designing processes leading to new products and services is acknowledged as the major source of competitive advantage. The ultimate goal in R&D units is to facilitate the production of new products through increasing knowledge, creating processes and enhancing R&D capabilities. Hence, the purpose of this study was to identify and prioritize the components of R&D productivity enhancement in the power plants and energy supply in line with optimal policy making. The collected research data were analyzed via confirmatory factor analysis and the components of R&D capabilities were prioritized via Structural Equations using SMART PLS3 software. The analytic network process was also used to prioritize the components of upgrading R&D capabilities. The content validity of the final research model comprising 8 factors and 50 indices was confirmed. After processing the model, 5 indices were removed and the final model with 45 indices was confirmed. The results showed that paying attention to all 8 components and their indicators is important and influential in the R&D capabilities of these industries. The findings indicated that of all components, the human resource capability, financing capabilities, and technological infrastructure supply were respectively of prime importance in upgrading R&D capabilities.

The purpose of current enquiry was to assess the factors that impact the introduction of traditional Iranian markets as a tourism brand with a focus on Tabriz market. To this end, an interview was conducted with the research sample comprising the experts in the field, the customers of Tabriz covered market, the businessmen working there. The Cochran model was used to estimate the sample size. The data collected from the interview were coded and categorized via Excel software and further analyzed through SPSS software. The initial analyses were carried out in two phases starting with identification of the characteristics of the research sample with respect to 6 different factors relevant primarily to their socio economic status. Further, the indicators evaluating the independent variables were scrutinized. A Likert scale was employed to collect the data. It comprised 58 indicators subcategorized under four independent variables: the image of the target market, market identity, market tourist facilities, and market uniqueness. The data analysis procedures included estimation of the average impact of each of the indices on each variable and the average effects of independent variables on the branding of Tabriz covered market, testing the relationship between the indices and independent variables and the branding of Tabriz market via Spearman correlation test, estimating the effectiveness of independent variables through linear regression model, final ranking of independent variables via path analysis method and, finally, a significant level analysis of the relationship between traditional market and market branding. The findings indicated that all three groups of participants believed that indices and independent variables had high average effect on Tabriz market branding as the dependent variable.

In today's competitive world, various organizations have been constantly concerned with improving production processes as a way to enhance product quality. Experiment design is a statistical quality control method leading to increased product quality, and thereby, enhanced manufacturing productivity. The present study set out to identify and prioritize the defects in industrial paints produced by Partofooldam industrial paint manufacturing company through failure mode and effects analysis (FMEA) and to determine optimal value levels for the identified effective factors using Taguchi Orthogonal Array Method. To serve the purpose, six trihedral factors and one dihedral factor were defined and the L18 array was selected for designing the required experiments. The findings indicated that the best paint quality was obtained in the experimental condition with over 10 micron granulation, peak metal temperature (PMT) of 232° C, high quality pigment, resin content of 55%, catalyst content of 4. 1%, using medium quality plate and maximum content of additives. The effectiveness of the proposed method was determined by comparing the risk priority number (RPN) in FMEA before and after implementing Taguchi Method which showed a 19 point drop in the mean RPNs for all the identified problems. The results verified the impact of Taguchi’ s method on reducing product failure risk and enhancing product quality.

Globalization and constant inter-organizational interaction have proved conventional leadership styles as inefficient factors in organizational survival and growth. What organizations need now is innovative leadership that can allocate materials and human resources in line with organizational goals and expand capacities to optimize the use of available resources. The purpose of the present applied enquiry was hence to explore the relationship between dimensions of innovation economy and key factors of organizational Bidimensional leadership-managerial model. To this end, Board of Trustees and Founders at Islamic Azad University, comprising 66 members, was selected via census as the research population. Initially, relevant research data were collected through library survey and a researcher-made questionnaire was designed under the supervision of experts in the field to be completed by the research participants. The research data were then statistically analyzed through SPSS software. Therefore, the use of two aspects of leadership-management based on the method of innovation economics can create the value of learning and the motivation and commitment of employees as a whole, which can lead to a two-dimensional excellence of employees and the organization.

Tourism productivity relies heavily on social and economic improvement. Children have largely been ignored as beneficiaries of tourism who can play a highly influential role. Existing research had failed to considered children as active agents who can impact their lives and environments. The purpose of the current study was thus to address the existing research gap and qualitatively investigate children's perceptions of the trips they had experienced and to explore whether their decision making and the consequences of their leisure behaviors might play any ameliorating role in economic recovery. The research sample comprised 96 children within the age range of 9-12 years old who had been selected based on gender and socioeconomic status, as the moderator variables, to take part in semi-structured interviews to narrate their memories. The recorded memories were further thematically analyzed. Exploration of their best trips revealed that novelty/entertainment, nature, and social relationships were perceived to be the major merits which stimulated emotional loyalty and the desire to return to the place. Emotional loyalty was observed to be stronger among males and middle socioeconomic class. Moreover, the findings supported the important role children can play in decision making and impacting the family’ s selection of future tourist destinations.