Translating green strategic intent into green process innovation performance: the role of green intellectual capital

Jirakraisiri, Jirapol; Badir, Yuosre F.; Frank, Björn

doi:10.1108/jic-08-2020-0277

Cited by 75 publications

(105 citation statements)

References 156 publications

(229 reference statements)

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“…On the other hand, environmental consciousness pushes the leaders to create environmental policies and environmental management systems as green structural capital, consequently supporting the implementation of green activities [86]. This is consistent with Jirakraisiri and colleagues, who showed that the stronger the organizational strategic intent with whom firms make green choices, the higher the GIC reported by the managers in the environmental and safety departments [71].…”

Section: Antecedents Of Gicsupporting

confidence: 62%

“…Consistently with the GIC framework, assuming its prominent role in enhancing the corporate competitive advantage, several empirical studies tested the effect of the adoption of a GIC paradigm on organizational performance outcomes. Studies that used a global measure of GIC or that did not distinguish between GIC dimensions in their statistical models (N = 8) found an association between GIC and organizational performance, measured as financial performance [57,69,70], innovation performance [71], or financial, social, and environmental performance [58]. Corporate competitive advantage emerged as an outcome of the adoption of GIC as well [6,57,72,73].…”

Section: Outcomes Of Gic (In Studies With No Distinction Among Dimensions)mentioning

confidence: 99%

“…Among the selected works, only twelve studies identified GIC antecedents. The most mentioned antecedent was environmental consciousness [13,57,73,86], followed by corporate social responsibility (CSR) [13,59,86], GHRM [61,70], corporate environmental ethics [47], strategic intent [71], technological distance [63], and network embeddedness [62]. According to these papers, the association between environmental consciousness and GIC is related to the positive representation of green issues that characterize firms with high levels of environmental consciousness.…”

Section: Antecedents Of Gicmentioning

confidence: 99%

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Management of Green Intellectual Capital: Evidence-Based Literature Review and Future Directions

et al. 2021

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This paper presents a systematic, evidence-based review of Green Intellectual Capital (GIC) management, a construct first introduced in 2008 and increasingly recognized as a management concept in recent years. This review covers the literature on GIC from 2008 to 2020 and addresses the role played by intellectual capital as a framework to promote sustainability in organizations. With the aim of clarifying our knowledge on the application of the GIC paradigm, this paper reviews the findings on the outcomes achieved by organizations that adopt the GIC paradigm, the antecedents and possible mediation-moderation factors that enhance this process, and the contexts in which such outcomes emerge. Findings show that GIC offers a significant framework for promoting sustainability in organizations. However, even though this study underlines the increasing trend of GIC, there remains very little reliable data on the subject, particularly addressing the role played by GIC as a framework to promote sustainability in organizations. This literature review is valuable for both researchers and practitioners. From a theoretical point of view, it allows one to synthesize the outcomes of GIC to better delineate how it affects organizations and the environment. From a practical point of view, opening a debate about the actual outcomes of GIC allows one to overcome the theory–practice divide, making the value of GIC more accessible to practitioners and managers and pushing them to opt for a green shift in their organizations.

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Section: Antecedents Of Gicsupporting

confidence: 62%

Section: Outcomes Of Gic (In Studies With No Distinction Among Dimensions)mentioning

confidence: 99%

Section: Antecedents Of Gicmentioning

confidence: 99%

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Management of Green Intellectual Capital: Evidence-Based Literature Review and Future Directions

et al. 2021

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“…Table 7 shows the analysis of the moderating effect of strategic HRM involvement using logistic regression (Dawson, 2014) as used by Jirakraisiri et al (2021) in their study. The two-way interaction of logistic regression by Jeremey Dawson (2014) was used in the study.…”

Section: Assessment Of Path Modelmentioning

confidence: 99%

Antecedents of human-robot collaboration: theoretical extension of the technology acceptance model

Parvez

Araslı

Öztüren

et al. 2022

JHTT

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Purpose This study aims to extend the technology acceptance model (TAM) to examine whether the introduction of robots influences employees’ behavioral intentions to use robots and awareness of robots to promote human–robot collaboration (HRC). Besides, the role of strategic human resource management (HRM) involvement as a moderator in the perception of robots as a team member was investigated. Design/methodology/approach Data were collected from 500 respondents via the Amazon Mechanical Turk platform. After data cleaning, 329 valid responses were analyzed. Partial least squares structural equation modeling was applied using Smart PLS Ver. 3.0 to test the study’s measurement and proposed research model. Findings The study results show that robots’ perceived usefulness and ease of use positively influence employees’ behavioral intentions to use robots. In addition, the advantages and disadvantages of robots have a positive impact on robot awareness. Employees’ behavioral intentions and awareness contribute positively to HRC. On the other hand, the moderating role of strategic human resources (HR’s) involvement in the relationships was insignificant. Research limitations/implications This study provides an exclusively applied understanding of robot presence and embodiment relevant to real-world HRC. In the travel, tourism and hospitality (TTH) industry, employees’ intention to use robots and robot awareness are significant factors. However, HRM involvement without the acceptance of robots could not enhance HRC. Originality/value Based on the literature review, to the best of the authors’ knowledge, this study is one of the first on this topic and extends TAM with new antecedents related to robot use, robot awareness and HRC in the TTH industry. In addition, this model attempts to determine the factors that favor HRC in the industry. This study also assessed the moderating role of strategic HR’s involvement in the behavioral intention of robot use, robot awareness and HRC.

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“…Human capital (HCI): Human capital, specifically innovative talents, is a key factor in the success of green innovation [ 63 ]. As the most dynamic element in green innovation, human capital can not only “increase marginal returns and decrease marginal costs” with investment growth but can also provide an inexhaustible impetus for this.…”

Section: Methodsmentioning

confidence: 99%

How Government Size Expansion Can Affect Green Innovation—An Empirical Analysis of Data on Cross-Country Green Patent Filings

Wen

Zhang

et al. 2022

IJERPH

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The expansion of government size will have dual effects on a country’s green innovation. An appropriately sized government size increases marginal productivity and stimulates the development of green innovation by increasing government expenditure. On the contrary, an excessively sized government creates a huge administrative agency, which not only increases the tax burden but also damages social welfare by excessive intervention. Therefore, the effect of government size on green innovation is not linear. In order to prove this proposition, this study examines the impact of government size on green innovation in 166 countries between 1995 and 2018, using a two-way fixed effects model. The results reveal an inverted U-shaped relationship between government size and the level of green innovation, indicating that optimal government size may maximize a country’s green innovation output. The results further suggest that this inverted U-shaped relationship is mainly influenced by environmental regulations and financial support. Finally, our heterogeneity analysis demonstrates that the inverted U-shaped relationship is more pronounced for countries with high organizational inertia and more R&D expenditure than for those with low organizational inertia and less R&D expenditure. This finding makes up for the research gap between government size and green innovation and provides a reference for countries to formulate the optimal government size to improve the level of green innovation.

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Translating green strategic intent into green process innovation performance: the role of green intellectual capital

Cited by 75 publications

References 156 publications

Management of Green Intellectual Capital: Evidence-Based Literature Review and Future Directions

Management of Green Intellectual Capital: Evidence-Based Literature Review and Future Directions

Antecedents of human-robot collaboration: theoretical extension of the technology acceptance model

How Government Size Expansion Can Affect Green Innovation—An Empirical Analysis of Data on Cross-Country Green Patent Filings

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