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Food recalls are more potentially harmful than other product recalls. This research aimed to investigate the effect of the recall strategies of food corporations on their brand image and consumers’ purchase intention.

This study adopts a between-subjects experiment of 2 (corporate recall strategy: voluntary recall, mandatory recall) *3 (food recall level (severity): high, medium, low), and recruits 224 consumers involved in cereal product recall in China. The authors inductively examine the effects of voluntary and mandatory recall on consumer perception and behavior intentions in the recall process.

Voluntary recall (vs. mandatory recall) will improve corporate brand responsibility image (vs. brand ability image) and consumers’ purchase intention to focal brand (vs. competitive brand and organic brand). Perceived corporate legitimacy and food safety play a mediating role. The former has a greater positive impact on brand image, and the latter has a more significant favorable influence on purchase intention. Furthermore, recall level has a moderating effect on the association between corporate recall strategy and perceived food safety, but is not significant in the effect of corporate recall strategy on perceived corporate legitimacy.

Previous inconsistent conclusions cannot effectively guide food corporations to manage recall strategies. This paper demonstrates the response mechanism of the recall strategy from the perspective of corporate social responsibility, which is beneficial to food safety crisis management and research.

The purpose of this paper is to examine the impact of directors’ and officers’ liability insurance (D&O insurance hereafter) on corporate governance and firm performance, with a specific focus on investment efficiency.

Using a sample of Chinese A-share listed firms from the period 2007 to 2020, this study uses Ordinary Least Squares regressions to investigate the research questions, as well as moderating and mediating effects. Additionally, alternative measures of investment efficiency are used, and the Heckman two-stage model and propensity score matching model are used to demonstrate the consistency of the findings and to mitigate the risk of endogeneity.

The findings of this study suggest that purchasing D&O insurance has a detrimental impact on corporate investment efficiency, particularly in the context of over-investment activities; robust internal governance mechanisms, exemplified by a higher shareholding ratio of the top shareholder and enhanced internal control quality, alleviate this negative effect; and financing constraints act as a mediating factor in the association between D&O insurance and investment efficiency.

Corporate investment efficiency is of significant importance for both national macroeconomic growth and micro-enterprise development. Notably, the prevalence of D&O insurance among Chinese firms is progressively increasing, thus exerting a growing influence. This study contributes to the existing literature on D&O insurance and corporate investment efficiency, providing valuable insights into the economic impact of D&O insurance on Chinese firms. The empirical evidence presented herein facilitates future reforms and adjustments.

The purpose of this paper is to identify distinguishing term characteristics from among the information of term appearance situations (tas) residing in the relevant/irrelevant documents retrieved for use. Terms with specific characteristics could be used in the distinguishing of user profiles, documents, pages or concepts to assist in information retrieval.

First, a method to apply the potential term characteristics in the distinguishing of user profiles in the information retrieval environment is designed. Then, an information retrieval system is developed to demonstrate the realisation and sustain the study of the method. Formal tests are conducted to examine the distinguishing capability of the potential term characteristics proposed in the method.

The results of the tests show that the potential term characteristics proposed in this study are successfully applied in the distinguishing of user profiles in the information retrieval environment.

Identification of distinguishing term characteristics would expand the ground for the IR community in the design of feature‐extraction algorithms or systems that try to cull information from structured or unstructured documents.

The purpose of this paper is threefold: to conceptualize a construct of the perceived value in CSA and its dimensions, to operationalize and validate the construct, and to empirically investigate the influence of perceived value in CSA on consumer satisfaction and loyalty.

This research begins by reviewing relevant literature that frames the concept of perceived value in CSA and integrates this construct into a nomological network. Operational measures for each component of perceived value in CSA are then developed. The scale is validated, and then used to test the hypothesized model in a sample of 198 consumers of Beijing's five CSA farms using partial least squares (PLS) as an analytical tool.

Perceived value in CSA is found to be a formative, multi-dimensional, third-order construct. Further, the results suggest that perceived value in CSA has both a direct positive effect on consumer loyalty and an indirect effect mediated through consumer satisfaction.

Limitations and research directions refer to the need to increase the sample size and replicate research in other places, the possibility of conducting longitudinal research, the need to identify antecedents of perceived value, and the opportunity to assess perceived value across a number of CSA member characteristics.

CSA farmers should recognize the importance of value creation to build and maintain long time relationships. This study suggests that CSA farmers can enhance value from two approaches. One approach is to build strategies to facilitate delivery of product benefits, emotional benefits, and social benefits. Another approach is to invest in efforts to reduce inconvenience and lower risk. In addition, the formative model means that CSA farmers can allocate resources depending on the relative weight of each in value perceptions.

This research is one of the first to conceptualize perceived value in a CSA setting; it argues that modeling of perceived value in CSA should take a formative approach and finds support for this; and assesses the nomological validity of the perceived value in CSA.

Leveraging marketer-generated content (MGC) can increase firms' success. However, few studies uncover the effects of MGC-related attributes on consumer engagement in the context of food marketing. This paper aims to explore the influence of MGC characteristics (valence, content types, vividness and interactivity) on consumer engagement.

This study uses WeChat official account data of seven food companies from China and conducts negative binomial regression models.

The findings indicate that different MGC-related characteristics have separate impacts on consumer WeChat engagement. Title valence, transactional title content and title with punctuation vividness negatively affect consumers' consuming engagement. Knowledgeable or entertaining title content and title with interactivity both positively affect consumers' consuming engagement. Moreover, transactional body text content negatively influences consumers' contributing engagement, whereas entertaining body text content shows positive effects. Vivid and interactive MGC body text attributes enhance consumers' contributing engagement behavior.

This study contributes to social media research in food marketplaces and sheds light on the effect of different WeChat MGC characteristics on separate consumer engagement.

The purpose of this paper is to explore the key factors in generating trust, and the effects of trust on the intention to cooperate in energy performance contracting (EPC), from the perspective of energy saving companies (ESCOs).

A questionnaire survey was undertaken to collect the data from the experienced project managers in ESCOs. Structural equation modeling was used to test the hypotheses.

The results revealed that competence, integrity, communication, reciprocity and contract had positive effects on calculative trust and relational trust. Both calculative trust and relational trust, in turn, were found to have positive effects on the intention to cooperate.

The conclusions are derived from the Chinese cultural background and may apply to a certain geographical scope. In addition, this study focused on the perspective of ESCOs but did not consider that of facility owners.

This research would supply guidance for facility owners or users to cultivate trust from ESCOs and achieve cooperation in EPC.

Most of the existing studies have focused on the perspective of facility owners while few have attempted to investigate the perspective of ESCOs. This study contributes to the knowledge body relating to EPC by investigating the relationship between trust and the intention to cooperate from the perspective of ESCOs. In addition, most EPC studies recognized trust as a condition for the successful execution of EPC projects but failed to consider the role of trust in setting up the cooperation relationship prior to project execution.

Logistical facility location decisions can make a crucial difference in the success or failure of a company. Geographical Information Systems (GIS) have recently become a very popular decision support system to help deal with facility location problems. However, until recently, GIS methodologies have not been fully embraced as a way to deal with new facility location problems in business logistics. This research makes a framework for categorizing empirical facility location problems based on the intensity of the involvement of GIS methodologies in decision making. This framework was built by analyzing facility location models and GIS methodologies. The research results revealed the depth of the embracement of GIS methodologies in logistics for determining new facility location decisions. In the new facility location decisions, spatial data inputs are almost always coupled with the visualization of the problems and solutions. However, the usage of GIS capability solely (i.e. suitability analysis) for problem solving has not been embraced at the same level. In most cases, the suitability analysis is used together with special optimization models for choosing among the multiple alternatives.

The collection of chapters in this 30th volume of Advances in Econometrics provides a well-deserved tribute to Thomas B. Fomby and R. Carter Hill, who have served as editors of the Advances in Econometrics series for 25 and 21 years, respectively. Volume 30 contains a more varied collection of chapters than previous volumes, in essence mirroring the wide variety of econometric topics covered by the series over 30 years. Volume 30 starts with a chapter discussing the history of this series over the last 30 years. The next five chapters can be broadly categorized as focusing on model specification and testing. Following this section are three contributions that examine instrumental variables models in quite different settings. The next four chapters focus on applied macroeconomics topics. The final chapter offers a practical guide to conducting Monte Carlo simulations.