Purpose
– Knowledge workers (KWs) in information technology (IT) sector have become one of the key drivers for strategic competitiveness as they contribute toward an organization’s performance. In this context, the role of knowledge workers, who work on deputation to client side, is even more critical as they contribute directly to the revenue inflows. The purpose of this paper is to explore their role efficacy (RE) and organizational role stress dimensions, which have been affecting their performance and organization effectiveness. The study further explored the relationship between RE and role stress dimensions. Two distinct samples were identified, one where Indian KWs working in Indian company and Indian KWs working in foreign firm, where they have been discharging client facing technical roles.
Design/methodology/approach
– A primary study has been conducted choosing questionnaire survey and telephonic interviews. A questionnaire was designed in such a manner so that the authors can extract the required information from the respondents about various dimensions of RE. This instrument was used to test the conceptual model of RE. Overall 50+ responses were obtained from IT companies in each of the two selected categories.
Findings
– The results have shown that role expectation conflict and role isolation are the two major dimensions contributing to role stress for the selected sample, while centrality and integration have contributed to overall role efficacy for both the categories. Human resource interventions were suggested to enhance their RE and reduce their role stress.
Originality/value
– This study made an attempt to investigate the relationship between RE and role stress dimensions of the KWs which has not been attempted in any previous published literature.
PurposeProblem solving skills (PSS), an important component of learning outcomes, is one of the desirable skills in engineering graduates as stated by many employers, researchers and government bodies in India for a strong foothold in professional world. There is a need to develop comprehensive understanding and integration of theory (concept) and practice (process) of PSS in the context of experiential learning (EL).Design/methodology/approachThe present study is qualitative in nature using a conceptual research design focussing on synthesis and model building framework. The key elements of the study are PSS, EL and their integration. The study seeks to develop conceptual integration of PSS across multiple theories and perspectives. It offers an enhanced view of a concept of PSS by summarising and integrating extant knowledge. It presents the complete and comprehensive meaning/definition of PSS. Subsequently, it also explores EL and synthesises the different variants of EL that can be used to develop PSS. Finally, the study builds a theoretical framework that proposes integration and interplay between PSS and EL.FindingsProblem-solving operates at three levels: problem concept (nature and context), process (stages with strategies) and solution (open-ended). EL can be used as a tool to develop PSS in an integrated manner. It is found that EL and problem-solving interplay with each other as both are cyclic in nature and have commonalities strengthening each other.Practical implicationsThe proposed framework can be adopted in engineering education for making the engineering graduates job ready.Originality/valueThe study proposes a framework based on integration of EL and problem-solving focusing on specific aims and goals of the course, learning approaches, learning strategies and authentic learning (learning environment). This integration would bridge the gap between engineering education and industry requirements. EL integrated problem-solving focus on pedagogical knowledge (knowing how to facilitate discussion among learners and curricular knowledge) and instructional knowledge (knowing how to introduce, organise different methods and assess).
Social media monitoring has been growing day by day so analyzing of social data plays an important role in knowing customer behavior. So we are analyzing Social data such as Twitter Tweets using sentiment analysis which checks the attitude of User review on movies. This paper develops a combined dictionary based on social media keywords and online review and also find hidden relationship pattern from these keyword.
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