A systems approach to understanding the perspectives in the changing landscape of responsible business in Scotland

Weaver, Miles; Crossan, Kenny; Tan, Hock; Paxton, Steven E

doi:10.1016/j.ejor.2017.11.050

Cited by 11 publications

(9 citation statements)

References 40 publications

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“…It can be concluded that soft systems thinking tends to suitable for interpretive research, and suitable for complex problems (Nurani et al, 2018). It is suitable in the context that is systemic, complex, and not easily quantifiable (Weaver et al, 2018). Checkland (2000) illustrates the differences between a hard system with a soft system.…”

Section: Methodsmentioning

confidence: 99%

“…Although SSM emerged a long time ago, many recent studies still adopt SSM, because SSM is very suitable for analysis and problem-solving in complex and messy situations (Kamari et al, 2017). Several recent studies that adopt SSM are like those done by Raharja et al (2020) in agricultural technology, Zeleznik et al (2017) in nursing education, Lami and Tavella (2019) in decision support research, Nurani et al (2018) in fishery, Weaver et al (2018) in responsible business practice, Hindle and Vidgen (2018) in business analytics, and Linders et al ( 2018) in e-Government systems analysis.…”

Section: Methodsmentioning

confidence: 99%

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Modeling e-Livestock Indonesia

Ramadhan

Arymurthy

Sensuse

et al. 2021

Heliyon

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Indonesia is always increasing every year. However, Indonesia's national beef supply cannot meet those needs. The import of beef in large numbers likely to remain performed. The government has made various efforts to reduce imports and achieve self-sufficiency in beef. However, the government does not yet have a good identification, registration, documentation, and traceability system, so there is no truly valid data regarding the actual stock condition. Inaccuracy of data can lead to inappropriate policymaking in the livestock sector. Therefore, an e-Government initiative in the form of e-Livestock has been proposed. The definitions and success factors regarding e-Livestock have been revealed in our previous researches. Based on those researches, by using soft system methodology, hermeneutics, focus group discussion, and success factors, the business process models for e-Livestock in Indonesia will be created in this research. Apart from that, various kinds of recommendations for action to solve the problem will also be generated from this research. Those recommendations are about the functional requirement, the identification tool, the location numbering rule, the ownership documentation, the socialization of the e-Livestock, the institutional aspect of e-Livestock, the regulations underlie e-Livestock and the conceptual infrastructure diagram of e-Livestock. All of the business process models produced have been validated and their complexities are also calculated. Most of the business process model is very easy to understand. All the business process models and recommendations generated from this research can be a guide for the government when implementing e-Livestock.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Modeling e-Livestock Indonesia

Ramadhan

Arymurthy

Sensuse

et al. 2021

Heliyon

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show abstract

“…It is this wider sociocultural framing of responsible business that creates resilient communities, thriving workplaces, and sustainable futures founded on business continuity models and strategic foresight (Klettner, Clarke & Boersma, 2014). These ingredients aid in subsequently adopting a systems approach to navigate increasingly complex and unpredictable futures (Weaver et al, 2018). Evidently, the COVID-19 pandemic has led to greater calls to revisit the fundamentals of responsible business practices, as a momentary pause to reflect on why organisations exist and where they see themselves in the post-pandemic world (Reed, 2022).…”

Section: Responsible Business and Corporate Social Responsibilitymentioning

confidence: 99%

Untitled

2022

AJBR

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The concept of responsible business is well-known, but not necessarily known well. In this editorial, we seek to conduct a timely introspection of the term, clarifying its definition and characteristics, and launching future research prospects for scholars. Within this vein, it is evident that there is overall consensus as to the principles of responsible business, though there are ongoing debates as to how the term is manifested across different contexts comprising stakeholders with various priorities. For this reason, we argue that a contextual approach is needed, and that businesses need to align their organizational goals with wider expectations on environmental, social and corporate governance outcomes as informed by their ecosystems. Future studies should then be directed towards unpacking some of these cultural influences, and the effectiveness of the quadruple helix (business, academia, industry and society) in delivering responsible business outcomes. These can likewise be undertaken through cross-comparative and longitudinal studies to elucidate global best practices.

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“…The logic here is taken from a customer perspective and is often commodified in 'economic' terms. In the context of sustainability applications, the concern is with the people and communities that will be directly impacted by the potential solution to be designed and implemented by the stakeholders (Weaver et al, 2018).…”

Section: Building Meaningful Relationships To Create Effective Partne...mentioning

confidence: 99%

“…Once a meaningful engagement is formed in a relationship, partners can work towards creating value for themselves and beneficiaries of any joint action. Weaver et al, (2018) described this as 'unlocking a shared space' to help release more business resources into communities. Recognizing that business holds most resources in any Western economy.…”

Section: Unlocking Value Co-creation In Partnershipsmentioning

confidence: 99%

Systems and Systemic Approaches for Attaining the SDGs Across Partnerships

Weaver¹,

Tan²,

Crossan³

2021

Encyclopedia of the UN Sustainable Development Goals

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DefinitionsThe United Nations (UN) promotes the importance of multi-stakeholder partnerships to work towards the achievement of the Sustainable Development Goals (SDGs) by 2030. These stakeholders include governments and the private, public, & non-profit sectors to build meaningful relationships, to bring about joint action to tackle a shared interest or concern. The SDGs highlight a multitude of "wicked problems" that Rittel and Webber (1973) describe as having high complexity and requiring multiple stakeholders across sectors to work together to solve them. These types of problem situations concern many interested stakeholders with diverse worldviews; success requires forming agreement among the parties involved, many uncertainties, and the absence of reliable data (Mingers, 2011). This calls for holistic approaches -'systems thinking' offers an art to "seeing the whole" (Senge, 2006). This includes the analysis, synthesis, and understanding of interconnections, interactions, and interdependencies at multiple levels (Davidz & Nightingale, 2008). Systems-based approaches are useful in problem structuring, dealing with interrelationships, understanding multiple perspectives, making boundary judgments, but always regarding the context of use -'the way of the world' (Reynolds and Holwell, 2010). Some explicitly help agents move towards evaluating and taking purposeful action. This paper outlines seven systems-based approaches and evaluates how they can be used to address the SDGs in cross-sector partnerships. These include: 1) Systems Dynamics, 2) the Viable Systems Model (VSM), 3) Strategic Options Development and Analysis (SODA), 4) Soft Systems Methodology (SSM), 5) Critical Systems Heuristics (CSH), 6) Theory U and 7) Systemic Intervention.

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A systems approach to understanding the perspectives in the changing landscape of responsible business in Scotland

Cited by 11 publications

References 40 publications

Modeling e-Livestock Indonesia

Modeling e-Livestock Indonesia

Untitled

Systems and Systemic Approaches for Attaining the SDGs Across Partnerships

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