scholarly journals Project Team Social Capital, Safety Behaviors, and Performance: A Multi-level Conceptual Framework

2014 ◽  
Vol 85 ◽  
pp. 311-318 ◽  
Author(s):  
Tas Yong Koh ◽  
Steve Rowlinson
2017 ◽  
Author(s):  
Todd D. Smith ◽  
Mari-Amanda Dyal ◽  
Yongjia Pu ◽  
Stephanie Dickinson ◽  
David M. DeJoy

Author(s):  
Brahma Prakash

Folk performances reflect the life-worlds of a vast section of subaltern communities in India. What is the philosophy that drives these performances, the vision that enables as well as enslaves these communities to present what they feel, think, imagine, and want to see? Can such performances challenge social hierarchies and ensure justice in a caste-ridden society? In Cultural Labour, the author studies bhuiyan puja (land worship), bidesia (theatre of migrant labourers), Reshma-Chuharmal (Dalit ballads), dugola (singing duels) from Bihar, and the songs and performances of Gaddar, who was associated with Jana Natya Mandali, Telangana: he examines various ways in which meanings and behaviour are engendered in communities through rituals, theatre, and enactments. Focusing on various motifs of landscape, materiality, and performance, the author looks at the relationship between culture and labour in its immediate contexts. Based on an extensive ethnography and the author’s own life experience as a member of such a community, the book offers a new conceptual framework to understand the politics and aesthetics of folk performance in the light of contemporary theories of theatre and performance studies.


2018 ◽  
Vol 23 (4) ◽  
pp. 351-376 ◽  
Author(s):  
Yiyi Fan ◽  
Mark Stevenson

Purpose This paper aims to investigate how supply chain risks can be identified in both collaborative and adversarial buyer–supplier relationships (BSRs). Design/methodology/approach This research includes a multiple-case study involving ten Chinese manufacturers with two informants per organisation. Data have been interpreted from a multi-level social capital perspective (i.e. from both an individual and organisational level), supplemented by signalling theory. Findings Buyers use different risk identification strategies or apply the same strategy in different ways according to the BSR type. The impact of organisational social capital on risk identification is contingent upon the degree to which individual social capital is deployed in a way that benefits an individual’s own agenda versus that of the organisation. Signalling theory generally complements social capital theory and helps further understand how buyers can identify risks, especially in adversarial BSRs, e.g. by using indirect signals from suppliers or other supply chain actors to “read between the lines” and anticipate risks. Research limitations/implications Data collection is focussed on China and is from the buyer side only. Future research could explore other contexts and include the supplier perspective. Practical implications The types of relationships that are developed by buyers with their supply chain partners at an organisational and an individual level have implications for risk exposure and how risks can be identified. The multi-level analysis highlights how strategies such as employee rotation and retention can be deployed to support risk identification. Originality/value Much of the extant literature on supply chain risk management is focussed on risk mitigation, whereas risk identification is under-represented. A unique case-based insight is provided into risk identification in different types of BSRs by using a multi-level social capital approach complemented by signalling theory.


2017 ◽  
Vol 40 (6) ◽  
pp. 684-697 ◽  
Author(s):  
Anshu Sharma ◽  
Tanuja Sharma

PurposeThis paper aims to explore the role of human resource (HR) analytics on employees’ willingness to improve performance. In doing so, the paper examines issues related to the performance appraisal (PA) system which affect employees’ willingness to improve performance and how HR analytics can be a potential solution to deal with such issues. Design/methodology/approachThe paper develops a conceptual framework along with propositions by integrating both academic and practitioner literatures, in the field of HR analytics and performance management. FindingsThe paper proposes that the use of HR analytics will be negatively related to subjectivity bias in the PA system, thereby positively affecting employees’ perceived accuracy and fairness. This further positively affects employees’ satisfaction with the PA system, which subsequently increases employees’ willingness to improve performance. Research limitations/implicationsThe paper provides implications for both researchers and practitioners in the performance management area for improving employees’ performance by applying HR analytics as a strategic tool in the PA system. It also provides implications for future researchers to empirically test the conceptual framework in different organizational settings. Originality/valueThe paper offers insights into how the use of HR analytics can deal with issues of subjectivity bias in the PA system and positively affects employees’ willingness to improve performance.


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