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How do nature-inspired enterprises be accountable to the natural environment formed? Natural environment is one of the basic elements of the business. Firms should be sensitive to environment, so they should develop environmental transparency and accountability. This paper develops a framework to understand how environmental transparency and stakeholder governance create environmental accountability, following an “action cycle” informed by four accountability criteria—identifiability, awareness of monitoring, expectations of evaluation, and social pressure. The paper analyzes the environmental transparency practices of 50 companies listed in the annual Best Global Green Brands report, the Global RepTrak 100, and The Climate A-List of the CDP (formerly the Carbon Disclosure Project). The results show that exemplar firms improve the “what”, “how”, and “how much” factors in terms of environmental information to identify what will be disseminated to whom when the information follows the criteria of accountability, which allow stakeholders to effectively adopt a governance role. This paper provides a 2 × 2 matrix for firms and stakeholders to better understand how accountability leadership is driven by environmental transparency, stakeholder governance and accountability criteria. The practical implications of environmental transparency are highlighted, specifically in terms of strategies for building accountability to meet the growing expectations of transparency and accountability.
Christina W. Y. Wong; Chee Yew Wong; Sakun Boon-Itt; Ailie K. Y. Tang. Strategies for Building Environmental Transparency and Accountability. Sustainability 2021, 13, 9116 .
AMA StyleChristina W. Y. Wong, Chee Yew Wong, Sakun Boon-Itt, Ailie K. Y. Tang. Strategies for Building Environmental Transparency and Accountability. Sustainability. 2021; 13 (16):9116.
Chicago/Turabian StyleChristina W. Y. Wong; Chee Yew Wong; Sakun Boon-Itt; Ailie K. Y. Tang. 2021. "Strategies for Building Environmental Transparency and Accountability." Sustainability 13, no. 16: 9116.
Purpose The dynamic capabilities view is invoked to hypothesize relationships among the service supply chain management (SSCM) process capabilities using the information technology management (ITM) process capability. This study argues that ITM will have an impact on the service performance management (SPM) process capability only when it works through mediators and demonstrates the impact by using the framework of SSCM process capabilities. Design/methodology/approach This study is based on a survey using quantitative data collection to empirically test the research framework. The proposed framework and hypotheses were tested using a mail-in survey of the service industry in Thailand. The statistical analysis of data acquired from the survey was performed using structural equation modeling. Findings The results support the existence of a mediating role for the ITM process affecting the SPM process. This study identifies the role of ITM and emphasizes the urgent need for firms to embed other mediating factors into their approaches to achieve SPM process goals in the service supply chain context. Research limitations/implications The study offers important implications to researchers as well as practitioners by highlighting the significance of mediating roles for ITM to achieve SPM process. Originality/value This research is among the initial attempts to argue the impact of ITM on SPM through mediators.
Pattama Lenuwat; Sakun Boon-Itt. Information technology management and service performance management capabilities: an empirical study of the service supply chain management process. Journal of Advances in Management Research 2021, ahead-of-p, 1 .
AMA StylePattama Lenuwat, Sakun Boon-Itt. Information technology management and service performance management capabilities: an empirical study of the service supply chain management process. Journal of Advances in Management Research. 2021; ahead-of-p (ahead-of-p):1.
Chicago/Turabian StylePattama Lenuwat; Sakun Boon-Itt. 2021. "Information technology management and service performance management capabilities: an empirical study of the service supply chain management process." Journal of Advances in Management Research ahead-of-p, no. ahead-of-p: 1.
Past studies separately show internal/external collaboration and different green practices can create different performance outcomes. By extending these studies, this paper hypothesizes that the performance effects of different green practices (that emphasize operations and product/market innovation) depend on the types of internal and external collaboration. The hypotheses are tested through a survey of manufacturers in China (Hong Kong) and the United Kingdom. As expected, green product design and packaging practices (emphasize innovation) create environmental and cost benefits when there are high levels of internal and external collaboration. Instead, green production, sourcing, and logistics practices (emphasize operations) create performance when the levels of internal and external collaboration are low. Only green production creates financial/market performance at a high level of stakeholder collaboration. These results show that it is important to distinguish the types of collaboration when implementing various green practices.
Chee Yew Wong; Sakun Boon-Itt; Christina W.Y. Wong. The contingency effects of internal and external collaboration on the performance effects of green practices. Resources, Conservation and Recycling 2021, 167, 105383 .
AMA StyleChee Yew Wong, Sakun Boon-Itt, Christina W.Y. Wong. The contingency effects of internal and external collaboration on the performance effects of green practices. Resources, Conservation and Recycling. 2021; 167 ():105383.
Chicago/Turabian StyleChee Yew Wong; Sakun Boon-Itt; Christina W.Y. Wong. 2021. "The contingency effects of internal and external collaboration on the performance effects of green practices." Resources, Conservation and Recycling 167, no. : 105383.
Background COVID-19 is a scientifically and medically novel disease that is not fully understood because it has yet to be consistently and deeply studied. Among the gaps in research on the COVID-19 outbreak, there is a lack of sufficient infoveillance data. Objective The aim of this study was to increase understanding of public awareness of COVID-19 pandemic trends and uncover meaningful themes of concern posted by Twitter users in the English language during the pandemic. Methods Data mining was conducted on Twitter to collect a total of 107,990 tweets related to COVID-19 between December 13 and March 9, 2020. The analyses included frequency of keywords, sentiment analysis, and topic modeling to identify and explore discussion topics over time. A natural language processing approach and the latent Dirichlet allocation algorithm were used to identify the most common tweet topics as well as to categorize clusters and identify themes based on the keyword analysis. Results The results indicate three main aspects of public awareness and concern regarding the COVID-19 pandemic. First, the trend of the spread and symptoms of COVID-19 can be divided into three stages. Second, the results of the sentiment analysis showed that people have a negative outlook toward COVID-19. Third, based on topic modeling, the themes relating to COVID-19 and the outbreak were divided into three categories: the COVID-19 pandemic emergency, how to control COVID-19, and reports on COVID-19. Conclusions Sentiment analysis and topic modeling can produce useful information about the trends in the discussion of the COVID-19 pandemic on social media as well as alternative perspectives to investigate the COVID-19 crisis, which has created considerable public awareness. This study shows that Twitter is a good communication channel for understanding both public concern and public awareness about COVID-19. These findings can help health departments communicate information to alleviate specific public concerns about the disease.
Sakun Boon-Itt; Yukolpat Skunkan. Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study. JMIR Public Health and Surveillance 2020, 6, e21978 .
AMA StyleSakun Boon-Itt, Yukolpat Skunkan. Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study. JMIR Public Health and Surveillance. 2020; 6 (4):e21978.
Chicago/Turabian StyleSakun Boon-Itt; Yukolpat Skunkan. 2020. "Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study." JMIR Public Health and Surveillance 6, no. 4: e21978.
BACKGROUND Coronavirus disease (COVID-19) is a scientifically and medically novel disease that is not fully understood as it needs to be consistently and deeply studied. Concerning research on the COVID-19 outbreak, there is a lack of sufficient information regarding infoveillance data. OBJECTIVE This study aims to understand public awareness of COVID-19 pandemic trends and uncover meaningful themes of concern posted by Twitter users in the English language during the pandemic. METHODS Data mining on Twitter was conducted to collect a total of 107,990 tweets related to COVID-19 between December 13 and March 9, 2020. The analysis included frequency of keywords, sentiment analysis, and topic modeling to identify and explore discussion topics over time. The natural language processing (NLP) approach and the latent Dirichlet allocation (LDA) algorithm were used to identify the most common tweet topics as well as to categorize clusters and find themes from keyword analysis. RESULTS The results indicate three main aspects of public awareness and concerns regarding the COVID-19 pandemic. First, the study indicates the trend of the spread and symptoms of COVID-19, which was divided into three stages. Second, the results of the sentiment analysis and emotional tendency show that people have a negative outlook toward COVID-19. Third, topic modeling and themes relating to COVID-19 and the outbreak were divided into three categories, including (1) the COVID-19 pandemic emergency, (2) how to control COVID-19, and (3) reports on COVID-19. CONCLUSIONS Sentiment analysis and topic modeling can produce useful information about the trend of the COVID-19 pandemic as well as alternative perspectives to investigate the COVID-19 crisis, which has created considerable public awareness. This finding shows that Twitter is a good communication channel for understanding both public concern and public awareness about the COVID-19 disease. These findings can help health departments to communicate information as to specific public concerns about the disease. CLINICALTRIAL
Sakun Boon-Itt. A text-mining analysis of public perceptions and topic modeling during the COVID-19 pandemic using Twitter data (Preprint). 2020, 1 .
AMA StyleSakun Boon-Itt. A text-mining analysis of public perceptions and topic modeling during the COVID-19 pandemic using Twitter data (Preprint). . 2020; ():1.
Chicago/Turabian StyleSakun Boon-Itt. 2020. "A text-mining analysis of public perceptions and topic modeling during the COVID-19 pandemic using Twitter data (Preprint)." , no. : 1.
This paper argues that mechanisms such as information sharing and collaboration used in green supply chain integration (GSCI) to improve information processing capacity can reduce uncertain outcomes of green product and process innovation. Based on data from a survey of Chinese (Hong Kong) firms, the paper tests whether the three dimensions of GSCI (green internal, customer and supplier integration) improve environmental performance and cost reduction by facilitating green product and process innovation. The results show that green customer integration improves cost and environmental performance through green process innovation (not green product innovation). Both green product and process innovations are facilitated by green customer integration (not green supplier integration), while both green customer and supplier integration significantly depend on green internal integration. These suggest that the distinctive information processing capacity created by green internal and customer integration can facilitate the green process innovation required to improve environmental and cost efficiency, while green product innovation and green supplier integration cannot create such efficiencies.
Chee Yew Wong; Christina W.Y. Wong; Sakun Boon-Itt. Effects of green supply chain integration and green innovation on environmental and cost performance. International Journal of Production Research 2020, 58, 4589 -4609.
AMA StyleChee Yew Wong, Christina W.Y. Wong, Sakun Boon-Itt. Effects of green supply chain integration and green innovation on environmental and cost performance. International Journal of Production Research. 2020; 58 (15):4589-4609.
Chicago/Turabian StyleChee Yew Wong; Christina W.Y. Wong; Sakun Boon-Itt. 2020. "Effects of green supply chain integration and green innovation on environmental and cost performance." International Journal of Production Research 58, no. 15: 4589-4609.
This paper argues both small and large firms use different resource allocation patterns to benefit from implementing environmental management practices (EMPs) and environmental management systems (EMS). Results from the multi-group structural equation analyses of a survey of manufacturing firms in two countries support the resource allocation arguments - large firms use resource-demanding EMPs such as green product design and green production to improve outcomes in environmental, cost-reduction and business performance, while small firms choose resource-light EMPs such as green logistics and green packaging to gain only environmental and cost-reduction benefits. The paper advances the existing resource-advantage view by revealing different resource allocation patterns and provides meaningful recommendations through which policy makers can address various resource allocation constraints among small and large enterprises.
Christina W.Y. Wong; Chee Yew Wong; Sakun Boon-Itt. Environmental management systems, practices and outcomes: Differences in resource allocation between small and large firms. International Journal of Production Economics 2020, 228, 107734 .
AMA StyleChristina W.Y. Wong, Chee Yew Wong, Sakun Boon-Itt. Environmental management systems, practices and outcomes: Differences in resource allocation between small and large firms. International Journal of Production Economics. 2020; 228 ():107734.
Chicago/Turabian StyleChristina W.Y. Wong; Chee Yew Wong; Sakun Boon-Itt. 2020. "Environmental management systems, practices and outcomes: Differences in resource allocation between small and large firms." International Journal of Production Economics 228, no. : 107734.
Due to increasing emphasis on sustainable practices, many organisations have attempted to leverage their supply chain performance towards balancing triple bottom line dimensions (economic, environmental and social perspectives). This paper, therefore, determines the priorities of sustainable supply chain management focusing on eco-design. Interpretive structural modelling (ISM) and Matriced’ Impacts Croise’s Multiplication Appliquée a UN Classement (MIMAC) are used to identify the hierarchical structure of the relationships among eco-design dimensions, and to analyse characteristics power of each dimension on supporting eco-design practices. The relationships and characteristics power of each dimension are used to determine indicators that are effective in enhancement of eco-design practice, evaluated through sustainable supply chain performance. Results indicate that product deployment is an important approach for improving eco-design practice towards sustainable supply chain management. This emphasises the purpose and impact of eco-design on sequential supply chain activities at deployment phase. Further research is required to make an overall assessment of eco-design practices across range of manufacturing industries, given the current research is based on inputs from a limited number of experts of selected organisations.
P. Thamsatitdej; S. Boon-Itt; P. Samaranayake; M. Wannakarn; T. Laosirihongthong. Eco-design practices towards sustainable supply chain management: interpretive structural modelling (ISM) approach. International Journal of Sustainable Engineering 2017, 10, 326 -337.
AMA StyleP. Thamsatitdej, S. Boon-Itt, P. Samaranayake, M. Wannakarn, T. Laosirihongthong. Eco-design practices towards sustainable supply chain management: interpretive structural modelling (ISM) approach. International Journal of Sustainable Engineering. 2017; 10 (6):326-337.
Chicago/Turabian StyleP. Thamsatitdej; S. Boon-Itt; P. Samaranayake; M. Wannakarn; T. Laosirihongthong. 2017. "Eco-design practices towards sustainable supply chain management: interpretive structural modelling (ISM) approach." International Journal of Sustainable Engineering 10, no. 6: 326-337.
This research examines the individual and combined effects of internal integration (II) and external integration (EI) on product innovation. Two combined effects—balanced integration and complementary integration—are examined. Based on ambidexterity theory, the combined effects of II and EI are theorised to facilitate exploration and exploitation of external and internal knowledge, and subsequently improve product innovation. Our analysis of survey data from the Thai automotive industry ascertains that EI and complementary integration are positively associated with product innovation, but II and balanced integration are not associated with product innovation. This research is the first to provide novel insights into how exploration and exploitation of external and internal knowledge can be facilitated by internal and external integrations, and their complementary effects on product innovation, which was previously less understood. Our findings provide managerial insights for firms involved in supply chain integration implementation.
Christina W.Y. Wong; Chee Yew Wong; Sakun Boon-Itt. The combined effects of internal and external supply chain integration on product innovation. International Journal of Production Economics 2013, 146, 566 -574.
AMA StyleChristina W.Y. Wong, Chee Yew Wong, Sakun Boon-Itt. The combined effects of internal and external supply chain integration on product innovation. International Journal of Production Economics. 2013; 146 (2):566-574.
Chicago/Turabian StyleChristina W.Y. Wong; Chee Yew Wong; Sakun Boon-Itt. 2013. "The combined effects of internal and external supply chain integration on product innovation." International Journal of Production Economics 146, no. 2: 566-574.