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This paper aims to study the effects of plum powder and apple pomace powder additions on the quality properties of buffalo meat emulsion.

Buffalo meat emulsions were prepared using different levels (2%, 4% and 6%) of plum powder and apple pomace powder, respectively. The meat emulsions were analysed for the physico-chemical, sensory and textural properties of the meat emulsion.

The pH of meat emulsions decreased significantly (p < 0.05) with an increased level of plum powder and apple pomace powder. Water-holding capacity (43.1%–48.1%), emulsion stability (80.2%–92.2%) and cooking yield (85.4%–91.0%) were significantly (p < 0.05) higher in plum powder and apple pomace powder added than the water-holding capacity (42.1%), emulsion stability (79.7%) and cooking yield (85.0%) of control emulsion. The moisture content was decreased significantly (p < 0.05), and crude fibre content was increased significantly (p < 0.05) with the increase in plum powder and apple pomace powder additions in meat emulsions. The total phenolic content and colour values (a* and b*) were significantly higher in plum powder and apple pomace powder added to meat emulsions. The sensory scores of meat emulsions were affected by the addition of plum powder and apple pomace powder. The meat emulsion added with 6% plum powder and 6% apple pomace powder showed significantly lower values of sensory overall acceptability. The hardness of meat emulsions increased with the addition of plum powder and apple pomace powder.

The results indicated that meat emulsions with a good cooking yield, fibre content, sensory acceptability and textural properties can be prepared by using plum powder and apple pomace powder.

The purpose of this paper is to examine the moderating effect of the board of directors on the strategic decisions made by family firms, and to understand the board attributes that can alleviate the aversion of family-owned firms toward mergers and acquisitions (M&A).

The study uses a sample of several firms listed in India from 2006 to 2019 with 19,813 firm-year observations. The empirical tests have been performed using logistic and negative binomial regressions. The study also tests for endogeneity with the help of Heckman (1979) two-step treatment effects model.

The study shows that board characteristics like smaller board-size, presence of outside directors, lower intensity of board activity, presence of busier board members and separation of board chair and CEO positions alleviate the inhibition of family firms toward M&A.

The findings imply that investors and policymakers can encourage family firms to have smaller boards, more independent directors, passive boards and CEO nonduality to reduce their aversion toward risky activities. Family-owned firms could consider a board comprising members with multiple directorships who can bring wider knowledge and expertise which can reduce the perceived threat to socioemotional wealth (SEW) and alleviate their aversion toward M&A.

Ownership concentration in family firms posits a unique challenge in terms of their aversion toward M&A. This study is one of the few that highlight the relevance of the monitoring and advisory role of the board in alleviating this aversion in an emerging market like India.

The present study aims to verify whether there is a positive (negative) role being played by the institutional investors on the loss-making companies' performance.

The authors employ panel data regression and two-step system generalised method of moments (SYS-GMM) to test the above objective.

The empirical results clearly show that no positive relation is found between institutional investors and loss-making companies' performance.

The findings of the study might have significant implications for firms to improve the firms' operational performance [return on assets (ROA)]. Also, the firm's financial performance [return on equity (ROE)] could be improved by increasing profitability which will reflect in the share prices of the firms whereby the performance can build the investors' confidence over the firm. Market performance (Tobin's Q) could be increased by providing more attractive offers and discounts to customers to capture the business opportunities available in the market.

The overall findings might have for reaching implications in the manufacturing sector with regard to allowing (disallowing) institutional investors.

The results of the study may help both companies and institutional investors.

This is the maiden attempt to study whether loss-making companies could be positively (negatively) impacted by the arrival of sophisticated institutional investors [foreign institutional investors (FIIs) and domestic institutional investors (DIIs)]. Further, this study is largely different from previous studies in terms of using new variables which are related to firm characteristics and valuation multiples. Further, seeing if the institutional investors tend to enhance the firm performance is curious.

Drawing on justice theory, this study aims to investigate the determinants and consequences of post-recovery satisfaction in a business-to-business (B2B) sales environment. In addition, customer demandingness is used as a moderator in this study to assess the relationship between distributive justice (DJ), procedural justice (PJ) and interactional justice (IJ) and post-recovery satisfaction.

A conceptual framework was developed by testing five hypotheses based on data collected from 337 salesperson–customer dyads.

The findings of this study reveal that DJ, PJ and IJ are positively linked with post-recovery satisfaction. In addition, post-recovery satisfaction negatively impacts customer distrust. On the contrary, customer distrust positively influences value co-creation behavior and has a negative impact on trusting intention. Finally, the customer’s level of demandingness significantly and positively moderates the linkage between the dimensions of justice perception and post-recovery satisfaction.

Despite extensive literature on distrust, a research model that examines customers’ distrust attitudes toward service failure and B2B recovery satisfaction needs to be developed and validated. In this regard, the authors developed a framework to measure post-recovery satisfaction and its association with customers’ distrust in B2B a context.

E-commerce companies often manipulate customer decisions through dark patterns to meet their interests. Therefore, this study aims to identify, model and rank the enablers behind dark patterns usage in e-commerce companies.

Dark pattern enablers were identified from existing literature and validated by industry experts. Total interpretive structural modeling (TISM) was used to model the enablers. In addition, “matriced impacts croisés multiplication appliquée á un classement” (MICMAC) analysis categorized and ranked the enablers into four groups.

Partial human command over cognitive biases, fighting market competition and partial human command over emotional triggers were ranked as the most influential enablers of dark patterns in e-commerce companies. At the same time, meeting long-term economic goals was identified as the most challenging enabler of dark patterns, which has the lowest dependency and impact over the other enablers.

TISM results are reliant on the opinion of industry experts. Therefore, alternative statistical approaches could be used for validation.

The insights of this study could be used by business managers to eliminate dark patterns from their platforms and meet the motivations of the enablers of dark patterns with alternate strategies. Furthermore, this research would aid legal agencies and online communities in developing methods to combat dark patterns.

Although a few studies have developed taxonomies and classified dark patterns, to the best of the authors’ knowledge, no study has identified the enablers behind the use of dark patterns by e-commerce organizations. The study further models the enablers and explains the mutual relationships.

This research explores the determinants and consequences of salesperson polychronicity in a business-to-business (B2B) sales environment. Additionally, the study examined the link between the antecedents and consequences of salesperson polychronicity using resistance to change (RC) and manager trust in salesperson (MT) as moderators.

A conceptual framework was developed by testing eight hypotheses based on data collected from 378 salesperson-manager dyads.

The authors find that opening leader behavior is positively associated with salesperson polychronicity, while closing leader behavior negatively influences salesperson polychronicity. In addition, salesperson polychronicity positively affects service recovery performance and customer-directed organizational citizen behaviors (OCB). Finally, the RC and MT significantly and positively moderate the linkage between the antecedents and consequences of salesperson polychronicity.

This study is original because this is the first study to address polychronicity as an individual trait in a B2B environment where multitasking behavior is of paramount importance.

Service–sales ambidexterity (SSA) offers sales managers crucial information about dealing with customer service failures through an effective management control system. This study aims to scrutinize the relationships among SSA, salesforce control system, salesperson’s role stressors and service recovery performance (SRP) in the business-to-business (B2B) context.

An analysis is conducted based on survey data collected from 586 B2B sales employees participating in an extensive survey. Structural equation modeling is used to analyze the proposed hypotheses.

Empirical findings suggest that behavior-based control harms SSA. On the other hand, outcome-based control has a positive impact on SSA. The research outcomes further disclose that SSA positively impacts salesperson role conflict and emotional fatigue, whereas emotional fatigue negatively impacts SRP. Salesperson resilience notably moderates the association between SSA and emotional fatigue.

The study addresses there is a dearth of research on SSA applying the sales management control system. When studying about ambidexterity in sales context, many supervisory styles have been explored; however, to the best of the authors’ knowledge, this is the first systematic attempt to understand how sales management control systems play a role in SSA.

This study aims to identify the key enablers for the adoption of Industry 4.0 (I4.0) in the automobile industry of India, which has been severely impacted by COVID-19. Adopting I4.0 will provide organizations greater flexibility and resilience during the COVID-19 pandemic.

Based on the literature review and experts’ opinions, 21 enablers were identified. Further, contextual relationships among the identified factors and a hierarchical digraph was developed by using the total interpretive structural modelling (TISM) technique. Finally, fuzzy cross-impact matrix multiplication applied to classification (MICMAC) analysis was conducted to classify the enablers into different categories based on their dependence and driving power.

The results indicate that top management support, clarity on government policy, strategic vision on I4.0 and development of new industrial policy are the most influential factors, with the highest driving power placed at the bottom of the TISM hierarchical model. Furthermore, agile workforce, smart HR practices and IT standardization and security are identified as linkage enablers with the most driving and dependency power.

The hierarchical TISM model and fuzzy MICMAC approach provide a comprehensive understanding of the I4.0 implementation process through a visual, logical structure to the managers. It will help the researchers and practitioners understand the contextual relationship among various enablers in fostering the I4.0 adoption process and digital reorganization in the automobile industry during the COVID-19 pandemic.

This study provides a holistic TISM hierarchical framework on I4.0 adoption that will elevate the next maturity level of innovation adoption and may act as a blueprint for automobile industries during the COVID-19 pandemic.

Academics and businesses alike have begun to recognise sustainability as a vital component of supply chain competitive advantage in recent years. Inconclusive results have been found in empirical studies of sustainable supply chain management (SSCM) that have ignored contextual variables concerning the dynamic role of firm capability in favour of testing alternative assumptions about the effect of various elements of the triple bottom line (TBL) on firm performance outcomes. The present study examines whether and how firm capabilities mediate the connection between SSCM, from a TBL standpoint, and firm financial performance outcomes.

Using the stakeholder theory, the study employed 325 survey responses from firms operating in different industries in Ghana (a less-researched context but one that plays a key role regarding SSCM practices) and the partial least squares structural equation model (PLS-SEM) technique to simultaneously assess the relationships amongst the variables.

It was discovered that the connections between all the TBL facets of SSCM practices and firm performance are positive and significant, and these relationships are mediated by firm capabilities.

By examining the underlying variables and relationships that contribute to the establishment of the rather complex relationship between SSCM practices from a TBL perspective and the performance of a firm, the research contributes to current knowledge on SSCM practices, firm capabilities and firm performance.