Search results

This article examines whether accountability can contribute to the analysis of effectiveness in grassroots voluntary organizations (GVOs) in France.

Based on recent studies and stakeholder theory, hypotheses are formulated about the negative link between accountability and financial effectiveness and a positive link between accountability and non-financial effectiveness.

The findings show that accountability practices are positive determinants of financial indicators (apart from return on assets [ROA]) and employment of people in difficulty. In contrast, the other non-financial indicators are not explained by accountability practices.

The study points out the complexity and paradoxes surrounding accountability and highlights the risk of insensitivity to it. It thus underlines a specific French situation, close to the risks of myopia linked to accountability. One possible explanation could be the coupling and decoupling mechanisms that allow non-profit organizations (NPOs) to regain power. Given the sometimes-random effects of accountability, producing nuanced theories is necessary, and governance should oscillate between equilibrium and adaptation in the face of stakeholders. Finally, this article introduces the risk of insensitivity of NPOs to accountability (i.e. they act as they wish, regardless of control mechanisms such as accountability).

This study thus reveals governance dilemmas, which could be solved through less formal, more mission-oriented, more creative and therefore heterodox accountability.

The French context of mistrust of certain managerial approaches and the development of codes of governance based on a disciplinary vision are confronted with a growing and critical literature on accountability in NPOs.

The purpose of this paper is to analyse innovation policies in India from 1958 to 2020. A policy tools framework was developed to compare the innovation policies in India. India developed and implemented four innovation policies from 1958 to 2013. The recent policy change was brought in the year 2020 with releasing the draft of the Science, Technology and Innovation Policy (STIP 2020). The authors analysed the recent draft of STIP 2020 with the earlier four innovation policies.

Innovation policies implemented from 1958 to 2013 in India were studied and analysed in the “text as a data approach” and a comparative policy analysis tool was designed for this purpose. The recent draft of STIP 2020 was evaluated and the provisions of the fifth draft of STIP 2020 were compared with the previous four innovation policies' design and formulation. The CPA tool design consists of five broad themes Awareness and capacity building; Finance and infrastructure; Resource management and governance; Outreach and networking; and Policy implementation and evaluation.

Draft STIP 2020 has many features similar to earlier policies. However, policy has focused on bringing in more clarity about national challenges, goals and objectives, yet it needs better implementation to achieve stated outcomes more effectively and efficiently. New initiatives include strengthening the innovation system with open science, improving STI education, expanding the financial landscape, establishing national STI observatory acting as a central repository of all data related to the STI ecosystem and accountable research ecosystem, promoting translational and foundational research of global standards, promoting entrepreneurship, self-reliance, mainstream science communication and public engagement and decentralised institutional mechanisms. Thus, the STIP 2020 is ambitious in its approach to promoting STI in India and needs a supportive mechanism to achieve the stated objectives.

Current comparative policy analysis focused only on identifying similarities and differences among innovation policies implemented in India from 1958 to 2020 and its evolutionary changes in policy and its instruments choice. The recent draft STIP 2020 is not approved and has no update regarding its approval and implementation by the government. The revised and yet to implement STIP 2020 may have variances in the policy instruments. The earlier policies are so broad and without specific problem statements. They were released as statements and resolutions which makes it is challenging to understand the impact of each policy. Similar policy tools in STI 2013 and STIP 2020 were only considered to observe the policy instrument choice. The achievements of the innovation policies implemented before STIP 2020 are not included. Evolutionary changes in the problem statements and policy tools prescribed in innovation policies are studied.

Department of Science and Technology, Government of India, released a draft of STIP in 2020. The draft of STIP was evaluated with previous Innovation Policies. To the authors’ understanding, this is the first attempt to evaluate the STIPs of India using the “text as a data” approach. The tool can be validated by using it for CPA of innovation policies of other emerging, developed and least developed economies to understand cross-country variations in policy instrument choice by policymakers.

Although the significance of technological progress in economic development is well-established in theory and policy, it has remained challenging to agree upon shared priorities for strategies and policies. This paper aims to develop a model of how policymakers can develop effective and easy to communicate strategies for science, technology and economic development.

By integrating insights from economic complexity, competitiveness and foresight literature, a replicable research framework for analysing the opportunities and challenges of technological revolutions for small catching-up countries is developed. The authors highlight key lessons from piloting this framework for informing the strategy and policies for bioeconomy in Estonia towards 2030–2050.

The integration of economic complexity research with traditional foresight methods establishes a solid analytical basis for a data-driven analysis of the opportunities for industrial upgrading. The increase in the importance of regional alliances in the global economy calls for further advancement of the analytical toolbox. Integration of complexity, global value chains and export potential assessment approaches offers valuable direction for further research, as it enables discussion of the opportunities of moving towards more knowledge-intensive economic activities along with the opportunities for winning international market share.

The research merges insights from the economic complexity, competitiveness and foresight literature in a novel way and illustrates the applicability and priority-setting in a real-life setting.

Developing economies often lack sufficient state regulation to encourage corporations to engage with environmental sustainability challenges. Environmental NGOs fill this vacuum but this relationship is fraught with challenges, linked to each party’s competing interests. This paper examines how an environmental NGO operating in a developing country manages such challenges.

A longitudinal case study, from 2017–2022, based on semi-structured interviews and documentary analysis, with the main periods of field work in 2017 and 2020.

We unravel nuanced dynamics of accountability within an NGOs collaborative ecosystem. Our findings reveal a web of interlinked obligations and expectations, strategically adopted to reconcile environmental and CSR logics fostering trustworthy partnerships with firms. Despite aiming for transformative change, the NGO made gradual initiatives, to meet the challenges of fostering systemic change in developing nations. Institutional logics of professionalism and development allowed NGO members avoid mission drift and realign upward accountability relations into lateral ones.

The study provides insight into successful NGO-corporate partnerships and illustrates how accountability is negotiated, upheld, and reconceptualized in such collaborations.

This study aimed to find possible answers to whether U.S. universities are merely looking good or doing good regarding their third mission using elements of the triple bottom line (people, planet, prosperity) and the 2030 Agenda.

Qualitative exploratory empirical study based on an in-depth analysis of publicly available documents (i.e. mission statements and strategic planning) and information from the Impact Rankings 2020 edition (webpages). The study uses a multilevel analysis to capture the parameters “looking good” and “doing good.” The sample consists of 15 U.S. universities.

The findings demonstrate that universities are looking good in terms of their effort to support their third mission. Data show that all universities covered themes related to people and prosperity in their mission statements and strategic planning. However, when the authors dived into the managerial metrics, KPIs, benchmarks and other evidence to characterize them as doing good, the authors encountered some challenges in identifying evidence. The data suggest that universities most likely participated in the Impact Ranking act as “cherry pickers” and might participate in unproblematic goals for their organization.

The 3Ps and the 17 Sustainable Development Goals used in this study to examine the university public mission never used in other studies. The goal in this study was not to evaluate those universities in terms of looking good and doing good but rather to contribute to the gap in the literature and provide suggestions to university C-suite.

This paper aims to identify and classify the parameters that construct the input, processes, output, productivity and outcome variables that affect performance. These parameters are used in the evaluation model to measure research performance in universities so that they can be used as the basis for making leadership policies both at the national and institutional levels.

The design of this research is a quantitative research method using a survey questionnaire that was sent to the heads of research institutions at universities in Indonesia. To obtain these parameters, a test for determining the value of the loading factor was used.

The authors found that input variable parameters consisted of 10 parameters; process variable consisted of 22 parameters; output variable parameters consisted of 8 parameters; productivity variable consisted of 4 parameters; and outcome variable parameters consisted of 10 parameters.

One approach to obtain parameters is through systems theory, where every element that makes up the organization contributes to the achievement of goals. This study attempted to develop parameters in the performance appraisal model of systems theory-based research institutions that are adapted to trends in the direction of research in universities. These parameters are based on aspects of input, process, output, productivity and outcome.

The purpose of this systematic literature review is to understand what the phenomenon of uncaptured value is, identify where it is operationalized and explore how it can be transformed into value opportunities. Uncaptured value in sustainable business model innovation can lead to new value creation which, in turn, can promote practices of innovation, sustainability and inclusiveness.

A systematic literature review was conducted using eight databases to identify 47 articles using the phrase sustainable business model innovation along with the terms value uncaptured, value surplus, value absence, value missed and value destroyed.

The findings have identified that uncaptured value is reoccurring in sustainable business model innovation but is left as the missing link. This paper outlines the novelties of uncaptured value in sustainable business model innovation into a framework that can be used for future research, which is also discussed, concluded and suggested.

A framework for the continued research on uncaptured value in sustainable business model innovation with an emphasis on influences, operationalization and practices has been created to further the research frontier and capture the missing link.

This study aims to explore how sustainable business models (SBM) can be developed within agri-innovation systems (AIS) and emphasize an integration of the two with a systemic understanding for reducing food loss and value loss in postharvest agri-food supply chain.

This study conducted longitudinal qualitative research in a developing country with food loss challenges in the postharvest supply chain. This study collected data through multiple rounds of fieldwork, interviews and focus groups over four years. Thematic analysis and “sensemaking” were used for inductive data analysis to generate rich contextual knowledge by drawing upon the lived realities of the agri-food supply chain actors.

First, this study finds that the value losses are varied in the supply chain, encompassing production value, intrinsic value, extrinsic value, market value, institutional value and future food value. This happens through two cumulative effects including multiplier losses, where losses in one model cascade into others, amplifying their impact and stacking losses, where the absence of data stacks or infrastructure pools hampers the realisation of food value. Thereafter, this study proposes four strategies for moving from the loss-incurring current business model to a networked SBM for mitigating losses. This emphasises the need to redefine ownership as stewardship, enable formal and informal beneficiary identification, strengthen value addition and build capacities for empowering communities to benefit from networked SBM with AIS initiatives. Finally, this study puts forth ten propositions for future research in aligning AIS with networked SBM.

This study contributes to understanding the interplay between AIS and SBM; emphasising the integration of the two to effectively address food loss challenges in the early stages of agri-food supply chains. The identified strategies and research propositions provide implications for researchers and practitioners seeking to accelerate sustainable practices for reducing food loss and waste in agri-food supply chains.

This study provides a configurational examination of how policy designs influence the innovation performance of the emergency industry in China.

This study employs the Data Envelopment Analysis Malmquist index (DEA-Malmquist) to quantify the innovation performance of the emergency industry and then codes the innovation policies to calculate the syntactic components based on institutional grammar tools (IGTs). The configurations of syntactic components were determined by applying the fuzzy-set qualitative comparative analysis (fsQCA).

The results indicate that rules- and norms-oriented policy designs would improve the innovation performance of China's emergency industry. In the developed provinces, the “Deontic” and “aIm” combinations in the policy are useful for improving performance. In the developing provinces, the ambiguity of the “aIm” and “Context” conditions in the policy is leading to low performance. Additionally, a lack of strategy-oriented policy design would also result in poor performance.

Most previous studies used substitute variables to understand policy impacts. This study contributes to identifying the impacts of the syntactic components of policy designs on the innovation performance of the emergency industry. The findings can assist policymakers in developing more effective policies to stimulate innovation development in the emergency industry.

This study investigates economic sustainability through orientation and absorptive capacity.

The researchers developed a conceptual framework based on vigorous literature for this investigation. This study targeted managers from Pakistan's SME sector as respondents and employed cross-sectional data. In total, the authors based this study's findings on 192 valid cases.

The structural equation modeling (SEM) results highlight that innovation orientation (IO), customer orientation (CO), supplier orientation (SO), network orientation (NO) and absorptive capacity (AC) have significant effects on economic sustainability (ES). Moreover, this study's findings show that ES significantly predicts environmental sustainability (ENS). Finally, the results also demonstrate that ES and ENS positively and substantially affect financial performance (FP).

This study's findings help SMEs continue sustainable business practices by avoiding adverse environmental effects and ongoing climate changes. This study's findings contribute also to the manufacture of eco-friendly environmental products to reduce the contamination of the environment. Financial institutions and policymakers would boost SME owners' capacity and the obtainability of financial resources to improve Pakistani SMEs’ sustainable economic and environmental performance.

This study's findings help to enrich environmental and economic sustainability and, more significantly, for developing countries.