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Strategia społecznej odpowiedzialności a proces rekrutacji pracowników w ujęciu teoretycznym

Krajewska-Nieckarz M., Sobczyk M.

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

2016

z. 97

437--447

Celem artykułu jest ustalenie powiązania między strategią społecznej odpowiedzialności przedsiębiorstwa (Corporate Social Responsibility, CSR) a rekrutacją pracowników. W artykule zakłada się, że warunkiem powodzenia strategii CSR jest zatrudnienie pracowników, wykazujących się wiedzą o koncepcji społecznej odpowiedzialności oraz mających doświadczenie i umiejętności związane realizacją projektów CSR. Zastosowano analizę krytyczną literatury traktującej o społecznej odpowiedzialności biznesu i zarządzaniu zasobami ludzkimi.

The aim of this article is to establish the relationship between social responsibility strategy (CSR) and recruitment. Article assumes that the condition for successful CSR strategy is the recruitment of employees demonstrating knowledge about CSR concept and having experience and skills related to CSR projects. The method of critical analysis of literature which deals with corporate social responsibility and human resource management was used.

Information systems implementation in production environments

Haider A.

Journal of Achievements in Materials and Manufacturing Engineering

2008

Vol. 31, nr 2

853-861

Purpose: This paper discusses the issue of information systems for managing plant and equipment assets utilised in production and service provision environments. It takes a holistic systems view of the business environment and proposes a generative learning centric framework that provides valuable learnings on the value that information systems provide and the maturity of the processes that they enable. Design/methodology/approach: It starts with establishing the definitions and descriptions of asset and its management and the role of information systems in production and manufacturing environments as well as in asset lifecycle management. This is followed by a detailed discussion of information system implementation for asset lifecycle management, by accounting for their alignment with the business objectives and their fit with the organization's cultural, social, and technical settings. The paper then presents a generative learning centric framework that provides valuable learnings on the value that information systems provide and the maturity of the processes that they enable. Findings: Theoretically, information collected throughout the asset lifecycle provides the basis for analysis aimed at generating valuable learnings that could be used to enable generative learning. Practical implications: Generative learning not only serves as the basis for evaluation of asset lifecycle management processes performance, but in so doing also highlights the gaps between the existing and desired levels of performance; thereby informing the asset management strategy and plan. Originality/value: The information systems frameworks provide for a continually improving asset management regime and its enabling infrastructure by extending the resource based view of asset management to a knowledge based view, thereby building competencies that contribute to competitiveness and responsiveness of the organisation.