PurposeThe purpose of this paper is to explore the effects of stressors (role ambiguity, role conflict, work‐overload, work‐family conflict), job stress, job satisfaction and organizational commitment on the information technology (IT) professionals' intention to quit their jobs in Turkey.Design/methodology/approachA structural equation modeling approach was employed to identify the variables that significantly affect the decision to quit. Using LISREL 8.54, data collected from 204 IT professionals were used to test the proposed research model.FindingsThe results revealed that intention to quit one's job is explained by job satisfaction and organizational commitment. Besides, role ambiguity and job stress exert negative indirect effects on the intention to quit one's job. Additionally, organizational commitment is strongly explained by job satisfaction, and job satisfaction is predicted by role ambiguity and job stress.Practical implicationsThe study offers several significant suggestions for the continuity of IT professionals in companies.Originality/valueThere are two contributions of this paper. First, this study provides evidence for the impact of stressors, job stress, job satisfaction and organizational commitment on intention to quit jobs among IT professionals in Turkey. Second, it also provides insight into the importance of stress factors by dividing the stressors into specific stress factors such as work‐family conflict, work‐overload, role conflict, and role ambiguity.

PurposeThe electric utility industry, unlike most other technology‐intensive industries, does not spend much money or effort on research and development. Many utilities do not possess an in‐house R&D facility, nor is there an R&D line item in their budgets. Over the last several decades the rate of change in the electric utility industry has been very slow and in‐house R&D efforts have not been required. As the rate of change in the industry is beginning to change, the need to pursue R&D is increasing. The electric utility industry is responding to this increasing requirement by increasing R&D budgets, and in some cases re‐initiating the R&D process within individual utilities. The purpose of this paper is to focus on R&D portfolio management efforts of various actors from different industrial sectors, to find out the best practices by using benchmarking method.Design/methodology/approachThe paper used case study approach and on‐site interviews as research methods.FindingsThe authors found that R&D management is in its infancy in the electric utility sector, while the methods established in the manufacturing sector are applicable there.Originality/valueThis study is exploring R&D management in the electric utility sector and contributes to the service innovation research stream.

Energy efficiency stands out with its potential to address a number of challenges that today's electric utilities face, including increasing and changing electricity demand, shrinking operating capacity, and decreasing system reliability and flexibility. Being the least cost and least risky alternative, the share of energy efficiency programs in utilities' energy portfolios has been on the rise since the 1980s, and their increasing importance is expected to continue in the future.Despite holding great promise, the ability to determine and invest in only the most promising program alternatives plays a key role in the successful use of energy efficiency as a utility-wide resource. This issue becomes even more significant considering the availability of a vast number of potential energy efficiency programs, the rapidly changing business environment, and the existence of multiple stakeholders.This dissertation introduces hierarchical decision modeling as the framework for energy efficiency program planning in electric utilities. The model focuses on the assessment of emerging energy efficiency programs and proposes to bridge the gap between technology screening and cost/benefit evaluation practices. This approach is expected to identify emerging technology alternatives which have the highest potential to pass cost/benefit ratio testing procedures and contribute to the effectiveness of decision practices in energy efficiency program planning. The model also incorporates rank order analysis and sensitivity analysis for testing the robustness of results from different stakeholder perspectives and ii future uncertainties in an attempt to enable more informed decision-making practices. The model was applied to the case of 13 high priority emerging energy efficiency program alternatives identified in the Pacific Northwest, U.S.A. The results of this study reveal that energy savings potential is the most important program management consideration in selecting emerging energy efficiency programs. Market dissemination potential and program development and implementation potential are the second and third most important, whereas ancillary benefits potential is the least important program management consideration. The results imply that program value considerations, comprised of energy savings potential and ancillary benefits potential; and program feasibility considerations, comprised of program development and implementation potential and market dissemination potential, have almost equal impacts on assessment of emerging energy efficiency programs. Considering the overwhelming number of value-focused studies and the few feasibility-focused studies in the literature, this finding clearly shows that feasibility-focused studies are greatly understudied. The hierarchical decision model developed in this dissertation is generalizable. Thus, other utilities or power systems can adopt the research steps employed in this study as guidelines and conduct similar assessment studies on emerging energy efficiency programs of their interes...

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