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This paper aims to examine the presence of an executive with customer experience (ECE) in a supplier firm’s top management team (TMT). The role of ECE presence remains understudied in the marketing literature. This study attempts to examine the relationship between ECE presence and firm performance.

This paper draws on the resource-based view of the firm and adopts a panel firm fixed effects estimator to test the proposed hypotheses. The empirical analysis uses a sample of 1,974 firm-year observations with 489 unique supplier firms. Selection-induced endogeneity is mitigated through the Heckman procedure.

ECE presence improves firm performance. Additionally, firms benefit less from ECE presence if a board member with customer experience (BCE) is also present, if a chief executive officer commands a higher pay slice (compared to other executives), and if a TMT is more functionally diversified. However, ECE presence is particularly beneficial if the overall economy is in contraction. Comparing the functional positions held by ECEs reveals that ECE in the marketing function (as a chief marketing officer) offers the largest benefit to an average supplier firm. ECE presence is also associated with other firm outcomes (e.g. bankruptcy odds, innovation and customer orientation).

This study makes four contributions to the literature. First, this research contributes to existing studies that investigate marketing expertise in the upper corporate pyramid. Second, the study contributes to the burgeoning body of work across business disciplines that attempt to understand the impact of CxOs on firm performance. Third, the study contributes to the vast literature on customer orientation indirectly. Finally, this paper contributes to the broader literature studying the influence of board and TMT characteristics.

The findings are of particular importance to business-to-business firms. This paper shows that suppliers can benefit significantly from managers with customer experience. Four contingency factors moderate the relationship between ECE presence and firm performance. Among the various functional positions held by an ECE, the findings suggest that hiring an ECE for the marketing functional area is the most beneficial. ECE stands out as a better option for a company than BCE to improve firm performance. ECE presence is also associated with bankruptcy odds, innovation and customer orientation.

This paper provides the first empirical evidence regarding how ECE affects firm performance and also extends prior research on the value of human capital in TMT.

This study aims to build on the organizational learning theory and propose a complex strategy by combining strategic alliance with subsequent acquisitions to penetrate new product markets. The authors empirically examined whether and to what extent preacquisition alliance experience affects the short- and long-term stock performance of acquiring firms.

Data on acquisitions, in which the acquirers have experience from preacquisition alliance activities in their targets’ respective industry, were collected. Diversifying acquisitions were focused upon to ensure that preacquisition alliance experience is the major source of organizational learning. A standard event study to examine acquirers’ abnormal returns was used and a Fama-French calendar-time portfolio approach to gauge long-run abnormal stock performance was adopted. In addition, regression analysis was conducted to investigate the alliance–acquisition relationship, controlling a set of variables capturing firm and acquisition characteristics.

It has been documented that in the short run, alliance experience may not always benefit acquirers’ stock performance surrounding the acquisition announcements. In particular, for acquiring firms experiencing negative cumulative abnormal returns, investors value alliance experience negatively. However, for up to 36 months after acquisitions, acquirers with alliance experience outperform their counterparts in almost every acquisition category regardless of the short-term announcement returns.

The current study has used a large-scale representative sample to investigate the dynamic interaction between alliances and acquisitions as two organizational forms for firms to grow. Findings indicate that firms can deliberately learn from their alliance activities and, later on, enter new markets through acquisitions. More importantly, it was found that, at least for some acquirers, preacquisition alliance activities are associated with worse short-term stock price performance because of possible information spillover and lifted entry barriers. It was confirmed that short-term pain nets long-term gains for acquirers heading into new markets.

Very little or no study has explored the predictors of behaviour and traits that determine digital entrepreneurship (DE) success. In response, the purpose of this paper is to present a research model that takes information technology (IT) culture as a theoretical lens and personal innovativeness and experience in IT projects as theoretical constructs to predict behaviour and traits that explain DE success.

Based on the literature review, the authors propose hypotheses and a research model. The authors tested the model using structural equation modelling (SEM), by surveying a sample of digital entrepreneurs operating in the Yabacon Valley, Lagos, Nigeria.

The results indicate that IT culture is an essential predictor of achieving DE success. The results also suggest that an entrepreneur's innovativeness in IT and experience in IT projects have significant negative and positive moderating effects on the relationship between IT culture and achieving DE success.

This paper taps into a new setting – DE context – by exploring the moderation effects of an entrepreneur's innovativeness in IT and experience in IT projects on the link between their IT culture and achieving a successful DE outcome.

This model offers managers an understanding of how IT culture and personal innovativeness and experience in IT work together to achieve DE success. Meanwhile, it sheds some light on managers to treat individuals with different levels of experience differently.

The authors theorise IT culture, personal innovativeness and experience in IT and show their effects on DE success, thus making an essential contribution to the information systems (ISs) and entrepreneurship research and practice. Moreover, the authors provide a novel methodology to conceptualise IT culture as a second-order hierarchical reflective construct by giving evidence that partial least squares (PLS) path modelling can assess a hierarchical model with moderating effects. This study answers scholars' call to construct more accurate explanations of innovation outcomes in an increasingly digital world.

This study aims to fabricate a novel electromagnetic interference (EMI) shielding composite aerogel with both thermal insulation and high temperature warning functions.

An emerging bio-based polypyrrole (PPy) gel/Fe₃O₄/calcium alginate (PFC) EMI shielding composite aerogel was prepared by freeze-drying and in situ polymerization method. First, Fe₃O₄/calcium alginate (CA) aerogel was obtained by freeze-drying the Fe₃O₄/CA mixture. Then, PPy/Fe₃O₄/CA was obtained by synthesizing PPy on the surface of CA/Fe₃O₄ aerogel through in situ polymerization. Finally, PPy/Fe₃O₄/CA was immersed in porphyrin solution (cross-linking agent) to get the final PFC EMI shielding composite aerogel.

Due to the matched impedance between Fe₃O₄ and PPy, the EMI shielding performance of PFC composite aerogel can reach up to −8 dB. In addition, the PFC EMI shielding composite aerogel also shows excellent self-extinguishing and thermal insulation properties. After leaving the flame, the burning PFC aerogel is quickly extinguished. When the PFC aerogel is placed on the heating plate at 230 °C, the temperature on the side of the aerogel away from the heating plate is only 90.3 °C after 5 min of heating. The electrical resistance of the PFC composite aerogel can be reduced from 3.62 × 104 O to 5 × 102 O to trigger the warning light after 3 s of exposure to the alcohol lamp flame. This reversible thermal resistance response characteristic can be used to give an early warning signal when the PFC encounters high temperature or flame.

This work provides a novel strategy for designing a multifunctional EMI shielding composite aerogel with repeatable high temperature warning performance. This PFC composite aerogel shows potential applications in the prevention of material combustion in high temperature electromagnetic environments.

The present research study aims to explore the impact of the most recent Israeli–Palestinian conflict, which unfolded in October 2023, on global equity markets, including a wide range of both emerging and developed markets (as per the Morgan Stanley Capital Investment country classification).

The market model of event study methodology, with an estimation window of 200 days and 28-day event window (including event day, i.e. October 7, 2023), has been employed to investigate the event’s impact on the stock markets of different countries, with 24 emerging countries and 23 developed countries. The daily closing prices of the prominent indices of all 47 countries have been analyzed to examine the impact of the conflict on emerging markets, developed markets and overall global equity markets. Additionally, cross-sectional regression analysis has been performed to investigate the possible explanations for abnormal returns.

The findings of the study suggest the heterogeneous impact of the selected event on different markets. Notably, emerging markets and the overall global equity landscape exhibited substantial negative responses on the event day, as reflected in average abnormal returns of −0.47% and −0.397%, respectively. In contrast, developed markets displayed resilience, with no significant negative impact observed on the day of the event. A closer examination of individual countries revealed diverse reactions, with Poland, Egypt, Greece, Denmark and Portugal standing out for their positive or resilient market responses. Poland, in particular, demonstrated significantly positive cumulative abnormal returns (CARs) of 7.16% in the short-term and 8.59% in the long-term event windows (−7, +7 and −7, +20, respectively), emphasizing its robust performance amid the geopolitical turmoil. The study also found that, during various event windows, specific variables had a significant impact on the CARs.

The study suggests diversification and monitoring of geopolitical risks are key strategies for investors to enhance portfolio resilience during the Israeli–Palestinian conflict. This study identifies countries such as Poland, Egypt, Greece, Denmark and Portugal with positive or resilient market reactions, providing practical insights for strategic investment decisions. Key takeaways include identifying resilient markets, leveraging opportunistic strategies and navigating market dynamics during geopolitical uncertainties.

As per the authors’ thorough investigation and review of the literature, the present study is the earliest attempt to explore the short-term and long-term impact of the 2023 Israeli–Palestinian conflict on equity markets worldwide using the event study approach and cross-sectional regression analysis.

Purpose – Informed by Chinese mothers from four villages, the purpose of this chapter is to address the old issue of feminization of family survival, but situated within the landscape of neoliberalism. This study investigates the interplay between Chinese patriarchal values and neoliberal ideas that have shaped the Happiness Project – Action to Aid Impoverished Mothers – an official population control program that has been combined with poverty reduction “Action.”

Methodology – This research began in 2001 in Sichuan Province, Southwest China. Over a period of three years I interviewed 48 women who were participants in the Happiness Project.

Findings – The goal of the Happiness Project is to bring “happiness” to poor mothers through the introduction of microcredit, literacy programs, and the improvement of reproductive health. Three maternal aspects of the Happiness Project, as the study indicates, coincide with three particular patriarchal values. These include an official construction of a good mother image, targeting women's bodies as objects of the state's population control, and reinforcing gender stereotypes through market activity. The findings of this research suggest that feminization of family survival coincided with achieving the goal of the Project. Mothers thus have carried a double burden on behalf of the Chinese state and their families: the goals of declining fertility and increasing family prosperity.

Social implications – Based on this outcome, the study not only calls for reevaluating this “women-only” economic development model, but also calls into question whether bringing Chinese women into public production/market activity is a path to women's emancipation under neoliberalism.

The purpose of this paper is to persuade a hybrid framework, which can be used to assess the performance of various supply chains and can be further used to segregate supply chains concerning critical KPMs. The KPMs have been selected in the COVID-19 pandemic condition.

A real case of e-commerce is presented to illustrate the working of the proposed framework comprising a hybrid methodology of BWM and Fuzzy TOPSIS to measure the performance of the e-commerce supply chains by identifying the critical key performance metrics (KPMs) and measuring the performance of the considered supply chains against these.

The proposed framework is illustrated using real-time data from experts, collected through interviews and discussions. It is found that rate of return on investment (SCPM 27), flexibility of service systems to meet particular customer needs (SCPM 23) and supplier lead time against industry norm (SCPM 33) are significantly weighed in assessing performance of the selected supply chains, with weights 0.07764, 0.06863 and 0.0547, respectively. Amazon and Flipkart are seen to stand out among the other supply chains taken for the present study with closeness coefficients as 0.945 and 0.516, respectively.

The contemporary world has seen the drastic attack of COVID-19 on many firms worldwide, and hence measuring the performance of the supply chains has become necessary so as to understand the critical factors affecting performance, their relative importance and the firm's relative standings. There have been studies in the recent past where researchers worked on similar motives to generate a framework to measure performance of supply chains, but it is seen that the methodologies lack flexibility with respect to effectively handling large data, uncertainty in human emotions, consistency, etc. This is where the current study stands out in effectively measuring the performance of supply chains so as to aid many firms affected by the pandemic.

This study aims to examines both accrual and real-based earnings management (EM) behavior of listed corporations in tax-free countries during different economic situations. It also addresses the link between firm- and country-level determinants of accrual and real-based EM and explores economic conditions' influence on these determinants.

The study examines 1,608 firm-years, covers sixteen years (2004–2019), clustered into three periods according to the global financial crisis (GFC): four years prior (2004–2007), two years during (2008–2009), and ten years post the GFC (2010–2019). We employ the modified Jones model (performance-matched) developed by Kothari et al. (2005) to measure the accrual-based EM (positive and negative discretionary accrual EM) and the three levels model for Dechow et al. (1998) to measure the real-based EM (cash flow from operating, discretionary expenses and abnormal production cost).

The study finds a significant increase in EM practices in the listed corporations in tax-free countries during the economic downturn. These corporations are found to understate their earnings during the economic stress period. Simultaneously, the firm-level determinants of EM practices were at the same level of significance during different economic conditions in accrual-based EM. In contrast, the country-level EM determinants vary based on the economic conditions.

Financial reports' users gain a deep understanding of the quality of financial reports in the context of tax-free country. And, the study outcomes inspire policymakers to develop relevant legislation to mitigate financial reports' risk and adequately protect the financial reports' users.

The purpose of this investigation is to identify, evaluate, integrate and summarize relevant and qualified papers through conducting a systematic literature review (SLR) on the application of recommender systems (RSs) to suggest a scholarly publication venue for researcher's paper.

To identify the relevant papers published up to August 11, 2018, an SLR study on four databases (Scopus, Web of Science, IEEE Xplore and ScienceDirect) was conducted. We pursued the guidelines presented by Kitchenham and Charters (2007) for performing SLRs in software engineering. The papers were analyzed based on data sources, RSs classes, techniques/methods/algorithms, datasets, evaluation methodologies and metrics, as well as future directions.

A total of 32 papers were identified. The most data sources exploited in these papers were textual (title/abstract/keywords) and co-authorship data. The RS classes in the selected papers were almost equally used. DBLP was the main dataset utilized. Cosine similarity, social network analysis (SNA) and term frequency–inverse document frequency (TF–IDF) algorithm were frequently used. In terms of evaluation methodologies, 24 papers applied only offline evaluations. Furthermore, precision, accuracy and recall metrics were the popular performance metrics. In the reviewed papers, “use more datasets” and “new algorithms” were frequently mentioned in the future work part as well as conclusions.

Given that a review study has not been conducted in this area, this paper can provide an insight into the current status in this area and may also contribute to future research in this field.

Building on social media and destination brand-related literature, this study aims to explore World Heritage Sites’ (WHSs) brand diffusion and formation process from long-term and short-term perspectives, which includes brand diffusion, user-generated content (UGC), opinion leaders and brand events’ impact.

This study uses a mixed-method including text mining, keyword analysis and social network analysis to explore the brand formation process of four popular WHSs in Beijing, namely, the Palace Museum, Great Wall, Summer Palace and Temple of Heaven and more than 10,000,000 users’ data on Sina Weibo has been implemented to uncover the underlying social media branding mechanism.

The results show that the number of postings keeps in a stable range in most months, but, in general, there are no common rules for changing trends among the four WHSs; long-term high-frequency keywords related to history and culture account for a higher percentage; different kinds of accounts have varying impacts on information diffusion, in which media accounts lead to a bigger influence. However, more followers do not necessarily mean more interactions and most of the interaction ratio is much lower than 0.01000; brand events facilitate brand dissemination and have an impact on the creation of UGC.

This study is valuable for destination marketers to deeper understand brand diffusion and formation and provides valuable insights for developing effective destination marketing strategies.

Unlike previous studies that only concern a few parts of destination brand formation via social media (e.g. brand diffusion, brand events or opinion leaders’ impact), this study takes a more comprehensive perspective by systematically analyzing the brand formation process of WHSs on social media. By considering both long-term diffusion and short-term representative events, this study provides a more holistic understanding of the branding mechanism.