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Corporate responsibility perceptions from stakeholders are becoming more difficult to manage. This is in part because of large amount of social media being projected to stakeholders on a daily basis. In light of this, the purpose of this paper is to examine the relationship between corporate responsibility framing from the social media perspective firm’s performance as defined by abnormal-return (defined as the difference between a single stock or portfolios return and the expected return) and idiosyncratic-risk (defined as the risk of a particular investment because of firm-specific characteristics).

Hypotheses are developed through agenda-setting theory and stakeholder and shareholder viewpoints. The research model is tested using sentiment analysis from a collection of social media from several industries.

The results provide support that three corporate responsibility social media categories (economic, social and environmental-framing) will have different impacts (delayed, immediate) on abnormal-return and idiosyncratic-risk. This study finds differences between immediate (one-day lag) and delayed (three-day lag) associations on abnormal-return and idiosyncratic-risk.

This study also suggests differences between the amount and sentiment of corporate responsibility social media framing on abnormal-return and idiosyncratic-risk. Finally, results identify interaction effects between different corporate responsibility social media categories.

The purpose of this study is to investigate the influence of ambidextrous strategy on supply chain resilience and its impact on firm performance, employing the Dynamic Capabilities View.

Through a survey of 215 supply chain professionals, the research employs a structural equation modeling analysis to examine the relationships between ambidexterity, agile operations, resilience, and performance.

The findings demonstrate that the ambidextrous strategy significantly enhances both agile operations and supply chain resilience. In turn, agile operations and resilience positively impact firm performance. The study also reveals that agile operations and supply chain resilience partially mediate the relationship between ambidextrous strategy and firm performance.

This research contributes to the supply chain management literature by highlighting the importance of an ambidextrous approach in fostering agile operations and resilience, thereby improving firm performance. It extends the dynamic capabilities view framework by elucidating how ambidexterity acts as a pivotal mechanism for adapting to disruptions and securing competitive advantage in volatile markets. Finally, measurements of ambidextrous strategy and resilience are provided to further enhance practitioners’ understanding of building these important components in networks.

The purpose of this study is to examine how supply chain strategy affects a firm's sustainability performance and how the strength of that relationship is influenced by managerial authentic leadership (AL) and its associated impact on interorganizational citizenship behavior (ICB).

Building on the intersection of three theories: organizational ambidexterity, AL and ICB, a mediated moderation model is developed and tested using structural equation modeling based on the responses from a cross-sectional survey administered by the authors.

The results reveal that an ambidextrous supply chain strategy is positively related to firm sustainability performance and this relationship is strengthened by AL. Furthermore, this study finds that this moderating relationship is partially mediated by ICB.

To the best of the authors’ knowledge, this paper is among the first to empirically test the effect of supply chain ambidexterity on sustainability performance by explicitly considering how leadership characteristics can both directly and indirectly affect the efficacy of this relationship. The findings complement existing literature by providing novel insights into the ability of firm supply chain strategy to affect sustainability performance.

The purpose of this study is to examine the extent to which a firm is able to leverage its information system (IS) innovativeness to improve supply chain resilience through developing and employing its analytics capability. It further considers how this mediating effect of analytics capability can be enhanced by internal and external integration.

Building on the logic of organizational information processing theory, a mediated moderation model is developed and tested using structural equation modeling and partial least squares regression based on survey responses from 247 working professionals.

The results indicate that IS innovativeness improves a firm’s supply chain resilience through enhanced analytics capability, with higher levels of internal and external integration further strengthening the effects of this mediating relationship.

This study is among the first to empirically test the effects of IS innovativeness and analytics capability on supply chain resilience and to examine the impacts of internal and external integration as key factors affecting the strength of these relationships. The findings complement existing literature through providing new insights into the linkage between IS strategy and supply chain resilience and highlighting the importance of relationships throughout the supply chain to enhance the efficacy of a firm’s analytics capability within this domain.

Drawing upon a systematic literature review in new technology, innovation transfer and diffusion theories, and from interviews with technology leaders in digital transformation programs in the US Oil & Gas (O&G) industry, the authors explore the relationships among O&G industry dynamics, organization's absorptive capacity and resource commitment for new digital technology adoption-implementation process.

The authors employed the empirical survey method to gather the data (a sample size of 172) in the US O&G industry and used structural equation modeling (SEM) to test the measurement model for validity and reliability and the conceptual model for hypothesized structural relationships.

The results provide support for the study’s causal model of adoption and implementation with positive and direct relationships between the initiation and trial stages, between the trial stages and the evaluation of effective outcomes and between the effective outcomes and the effective implementation stages of digital technologies. The results also reveal partial mediating relationships of industry dynamics, absorptive capacity and resource commitment between respective stages.

Based on the current study's findings, managers are recommended to pay attention to the evolving industry dynamics during the initiation stage of new digital technology adoption, to utilize the organization's knowledge-based absorptive capacity during digital technology trial and selection stages and to support the digital technology implementation project when the adoption decision of a particular digital technology has been made.

The empirical research contributes literature on digital technology adoption and implementation by identifying and demonstrating the importance of industry dynamics, absorptive capacity and resource commitment factors as mediating variables at various stages of the adoption-implementation process and empirically validating a process-based causal model of digital technology adoption and a successful implementation project that has been missing in the current body of literature on digital transformation.

Although foreign ownership has been widely studied to show its impact on firm performance, the findings are mixed and the underlying rational to explain the impact is not entirely clear. The purpose of this study is to determine if there is a direct relationship between foreign ownership and performance or if this relationship is indirect and affected by mediating and moderating variables such as international diversification and competitive environment.

Financial data, survey data and other financial measures for known indices are used in the research, and SPSS and SEM (Stata 15) analyses are used to test empirically derived hypotheses.

Results from this study indicate that the relationship between foreign ownership and firm performance is mediated by international diversification, such that higher levels of both foreign corporate and foreign institutional ownership lead to higher levels of international diversification, which then lead to higher levels of firm performance. Results from this study also indicate that the competitive environment moderates the relationship between a firm’s level of international diversification and performance, such that the effect of international diversification on performance is greater as the environment becomes more competitive.

This study provides empirical evidence for managers to seriously consider the impact of foreign ownership on decisions involving international diversification, along with competitive environment, when formulating and implementing organizational strategies.

This study extends prior research examining the effects of foreign ownership on firm performance by uniquely showing how international diversification mediates the relationship between foreign ownership and firm performance and how the competitive environment moderates the relationship between international diversification and firm performance.

Recent models comparing inventory costs under just‐in‐time (JIT) purchasing plans and economic order quantity (EOQ) purchasing plans have tended to favor EOQ purchasing in situations where annual demand of inventory is moderately large. Contends that these cost models are lacking dynamic cost components inherent in virtually all JIT purchasing plans. Presents a series of inventory purchasing cost models that extend prior methodology by Fazel by including relevant physical distribution cost savings. Additional comparative models are presented to further demonstrate how other relevant costs factors can be included in a comparative EOQ/JIT model. A cost comparison with an existing problem from the literature is used to illustrate the informational efficacy of new models.

This paper sets out to study the corrosion of No. 20 carbon steel without film and with films of different qualities in high‐temperature boiler water with different Cl⁻ concentrations.

The static simulated experiment in high‐pressure autoclave and the surface analysis methods of EPMA and XRD were carried out to study the corrosion effect.

Under the following conditions: T=360±3°C, pH = 9.40±0.10, c_O2<0.020 mg/l, the density of pitting corrosion on specimens without a protective film increased with the increase of C_Cl⁻ content, while C_Cl⁻ was > 0.2 mg/l. The film on specimens with integral films would not dissolve observably even until the C_Cl⁻ concentration was as high as 0.8 mg/l. Films with corrosion pits would begin dissolving when the Cl⁻ concentration reached 0.4 mg/l. The main constituents of the oxidative films in the gas and liquid phases both were Fe₃O₄.

In order to prevent carbon steel from corroding in boiler water containing Cl⁻ under conditions of low‐phosphate and low‐sodium hydroxide treatment, the concentration of Cl⁻ should be strictly controlled.

It was found that the presence of excessive Cl⁻ in boiler water accelerated the corrosion of No. 20 carbon steel and the maximum permissible concentration of Cl⁻ under the conditions (temperature and pressure) of sub‐critical drum boilers was 0.2 mg/l. The research results can provide theoretical guidelines for preventing the facilities of power plants from corroding.

The purpose of this paper is to investigate the tribological performance and mechanisms of BN/calcium borate nanocomposites (BCBNs) as additives in lubricating oil.

BCBNs were prepared by heterogeneous deposition method. And the morphology and structure of samples were analysed by transmission electron microscopy, Fourier transform infrared spectra and X-ray powder diffraction pattern. The maximum non-seizure load (PB) of samples was tested using four-ball friction tester. The average friction coefficients and wear tracks were obtained. In addition, tribological mechanism was also investigated using optical microscope, energy dispersive spectroscopy and X-ray photoelectron spectroscope.

It was found that the nanocomposites present core-shell nanostructure with the thickness of shell around 12 nm and the diameter of particles 100-200 nm, and tribological tests indicate that the PB value of BCBNs was increased by 113 per cent, whereas the average friction coefficient was decreased by 23.6 per cent and the bloom’s wear area was also decreased by 25.2 per cent.

This paper involves investigation on tribological properties and mechanism of the BCBNs with core-shell structure.

Ball bearings in gas turbine have played a critical role in supporting heavy radial loads but with higher failure rates and repair costs. Therefore, the purpose of this study is to introduce and study a method for their failure analysis with an actual industrial example to guarantee operation reliability and safety.

Spectrometric oil analysis was used as an early abnormal wear indicator, based on which emergent in-use oil replacement was carried out to reduce the wear rate. However, with wear deterioration, further wear failure investigation was conducted by LaserNet Fines and ferrography to detect the imminent wear failure. Finally, with the assistance of elemental analysis of the typical wear particles, the root cause and worn components were determined by scanning electronic microscope and energy-dispersive X-ray spectroscopy.

The results have shown that an extraneous source led to wear failure, which later caused overheat between the outer bearing ring and ball. It is in accordance with visual inspection of the disassembled engine.

This method has specified the occasion under which the suitable measurement can be taken. It can achieve the rapid wear condition assessment allowing for root cause and worn parts identification. In addition, wear rate reduction by change of oil can be efficient for most of the time to avoid premature disassemble, especially with the possibility of contamination. It has provided experience to address similar industry-level practical wear failure analysis problems.