인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Short food supply chains (SFSCs) have been presented as a sustainable alternative to unsustainable conventional food supply chains (CFSCs). Here, intermediate SFSCs are most capable of expanding their scale and success. However, it remains unclear which intermediaries can do so sustainably, while upholding SFSCs values. Understanding the types of intermediaries and their capabilities is key to ensuring long-term success in the market. Through a systematic literature review, this paper investigates the type of intermediaries operating in SFSCs and their capabilities. Appropriate exclusion criteria eliminated articles that focused on shortening CFSCs without specifically mentioning SFSCs, as well as articles focusing on direct-to-consumer SFSCs, which did not mention intermediaries. A wide range of synonyms for intermediaries and capabilities was included to ensure a thorough search string. Based on these selection criteria, 65 articles have been selected and analyzed. The capabilities of seven different intermediaries are presented in context of the resource-based view. The capabilities are categorized in operational capabilities and relational capabilities. The outcome allows for the assessment of internal resources and external relationships that could strengthen the intermediaries’ operations, ultimately leading to sustainable competitive advantage. The practical implications of this research indicate that certain intermediaries are more suitable than others in obtaining competitive advantage toward CFSC and increasing the volumes moved through SFSCs and allowing for sustainable food supply chains. This is the first review to provide an overview of the most discussed intermediaries in SFSCs and their capabilities creating competitive advantage, allowing for future discussions around sustainable SFSCs.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.