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Drawing on prior research on strengths use and job performance, this study aims to investigate how employees’ strengths use for tasks and strengths use for relationships jointly influence role breadth self-efficacy and subsequent job performance, specifically in- and extra-role performances.

To test the assumptions, the authors methodologically performed a polynomial regression with response surface analysis using data collected from multiple time points and sources (i.e. 312 employee–supervisor dyads in Chinese companies).

The results showed that the higher the congruence between strengths use for tasks and strengths use for relationships, the higher the employees’ role breadth self-efficacy. Employees’ role breadth self-efficacy was greater when both strengths use for tasks and strengths use for relationships were high. Furthermore, the congruence between strengths use for tasks and strengths use for relationships had indirect effects on in- and extra-role performances via role breadth self-efficacy.

This study uniquely contributes to the strengths use literature by offering a more nuanced understanding of the consequences of strengths use for tasks and strengths use for relationships in the Chinese context. It highlights the importance of both types of strengths use for improving employee performance in Chinese organizations. Furthermore, this study provides new theoretical insights into the relationship between strengths use and job performance by ascertaining the mediating effect of role breadth self-efficacy.

The online brand advocacy behaviors of omnichannel shoppers, who mainly rely on integrated brick-and-mortar stores (recognized as a vital channel for delivering a seamless shopping experience and meeting the dynamic needs of the shoppers), are still understudied. This study aims to investigate how integrated store service quality (ISSQ) may elicit both positive and negative emotions that contribute to a memorable omnichannel shopping experience and have an impact on shoppers' attachment to the store, leading to their exhibition of online brand advocacy behaviors (brand defense, brand positivity, brand knowledge sharing and virtual positive expression).

The study is a cross-sectional, descriptive and quantitative investigation. The research participants were chosen using a purposive sampling technique. Using a validated self-administered questionnaire, data were gathered from 886 Indian omnichannel shoppers who often purchase at the integrated brick-and-mortar store. The proposed conceptual model was tested using Smart PLS software for partial least squares-structural equation modeling.

The results indicate that positive and negative emotions mediate the relationship between ISSQ and memorable omnichannel shopping experiences, subsequently impacting omnichannel shoppers' attachment to the store and leading to online brand advocacy behaviors. The relationship strength perceived by shoppers significantly positively moderated the relationship between store attachment and different online brand advocacy behaviors (brand defense, brand positivity, brand knowledge sharing and virtual positive expression).

The study relied upon single cross-sectional data from the Indian population, where omnichannel retailing is still nascent.

This study addresses the need to investigate the different emotions that arise while evaluating service quality in omnichannel retail purchase journeys leading to memorable shopping experiences. Emphasizing post-purchase behaviors like different online brand advocacy behaviors (brand defense, brand positivity, brand knowledge sharing and virtual positive expression), this study is the first to show that ISSQ might affect four different OBAs through memorable omnichannel shopping experience and the shopper's sense of attachment to the store. The moderating effect of relationship strength perceived by shoppers with the retailer on a few proposed hypotheses was also tested to give managerial recommendations.

The purpose of this article is to develop a new model called strategy segmentation methodology (SSM) by combining the Kraljic portfolio matrix (KPM) and the supplier relationship model (SRM) so that the buyer company can effectively conduct its relations with its suppliers.

The importance weights of the criteria defining the dimensions of each model are calculated with the single-valued neutrosophic analytical hierarchy process (SVN-AHP) method. Subsequently, the derived importance weights are employed in the single-valued neutrosophic technique for order preference by similarity to ideal solution (SVN-TOPSIS) method to obtain the scores of the suppliers and their supplied items. In order to illustrate the feasibility of the proposed methodology, a case study in the machinery industry is performed with the related comparative analysis.

The implementation of SSM enables to formulate various strategies to manage suppliers taking into account the items they procure, their capabilities and performance and the supplier–buyer relationship strength. Based on the proposed strategies, it is concluded that the firm in the case study should terminate its relationship with six of its suppliers.

Although KPM has become the basis of purchasing strategies for various businesses, it neglects the characteristics of suppliers and the buyer–supplier relationship. In this study, KPM is integrated with the SRM approach presented by Olsen and Ellram (1997) to overcome these disadvantages of KPM. The novel integration of the two approaches enables the realization of a robust and reliable supplier classification model.

Risk response decisions (RRDs) are vital for project risk mitigation. Although past research has focused on RRDs for independent single projects, it has scarcely explored how to make RRDs for single projects in project portfolios (SPPPs). Consequently, this study aims to bridge the gap in extant literature by developing an integrated approach to select risk response strategies (RRSs) for SPPPs considering objective adjustments and project interdependencies (PIs).

An integrated quality function deployment (QFD) method was used throughout this study. More so, a balanced score card (BSC) and stratified-Z-numbers-full consistency method (SZFUCOM) was applied to identify SPPP success criteria (SP3SC) to determine their weights. In addition, a spherical fuzzy set-design structure matrix (SFDSM) was used to quantify the correlation between the risks and the relationship between the risks and the predecessor projects. Consequently, the relationships between the risks and SP3SC and RRSs were described by the spherical fuzzy set (SFS) and Z-numbers, respectively. Besides, the results are weaved into QFD to transform SP3SC into risks and then into RRSs, while a linear optimization model is used to obtain the optimal RRSs. Lastly, a construction project portfolio (PP) was used to test the veracity of the results to prove their validity.

The approach to RRDs for single projects is observed to be different from that of SPPPs. In addition, this study finds that project portfolio objective adjustments (PPOAs) and PIs have significant impacts on RRDs given that they influence the risk priorities of independent single projects and SPPPs. Moreover, the application of an integrated QFD effectively synthesized the results from the findings of this study, as well as enabled companies to determine robust RRSs. Finally, the consistency results of the SZFUCOM were better than those of the triangular fuzzy number-full consistency method.

The study innovatively explores the method of RRDs for SPPP, which has been ignored by past research. SP3SC highly compatible with PP success is determined. Z-numbers are first used to evaluate the effect of RRSs to enhance the robustness of RRDs. The study proposes a method of RRDs comprehensively considering PPOAs and PIs, which provides robust methodological guidance for SPPP managers to control risks.

In this study, the authors investigate if analysts, as knowledgeable information intermediaries, can correctly identify bank corporate social responsibility (CSR) activities and can reliably transmit that information to investors. Hence, the authors specifically explore if analysts perceive and behave differentially in the presence of genuine bank CSR activities (strengths). The authors also analyze if financial markets differentially assess bank CSR strengths. The authors further explore the viability of focusing on analyst and financial markets to validate genuine bank CSR strengths.

The authors use COMPUSTAT and CRSP for firm and financial data, I/B/E/S for analyst reporting data and MCSI Research KLD for CSR data. The sample consists of 329 distinct banks and 2,525 bank-year observations from 2003 to 2016. The primary CSR score is the total number of CSR strengths less the total number of CSR concerns, across six of the seven dimensions for each firm in each year of the sample (Adjusted CSR Score). In addition, the authors estimate all the analyses with dis-aggregated measures of total CSR strengths and total CSR concerns (Adjusted Total Strength Score).

The authors find that analysts correctly distinguish and construe bank CSR strengths from CSR concerns. Specifically, bank CSR strengths increase analyst following and forecast accuracy, while decreasing analyst forecast dispersion. The authors further find that bank CSR strengths increase bank market returns. These results are reversed for bank CSR concerns. Additionally, the authors demonstrate that this method using knowledgeable intermediaries can help validate bank CSR strengths.

The sample is limited to US banks and financial markets. The regulatory and information environment is likely to be different from global or emerging markets. However, since banks in many countries aspire to emulate the US banks, these results would be a precursor of banking sectors conditions in emerging markets. Additionally, the availability of data limits the sample to a period that ends in 2016. To the extent that the importance of ESG and CSR concerns has increased in the intervening time, the results may not accurately reflect the current state of the market.

This investigation benefits researchers, customers, banking executives, regulators and activist groups. First, the authors show that in addition to customers, analysts and the financial markets appreciate bank CSR strengths. Second, despite sophisticated financial reporting by banks, analysts correctly distinguish and construe bank CSR strengths. Third, the authors demonstrate a method for bank marketing researchers to validate genuine bank CSR activity, as well as provide additional support for customer related bank CSR outcomes. Fourth, the findings highlight the importance for banks to have high-quality CSR reporting. This might be especially helpful to a bank rebuilding its reputation after a CSR failure. Finally, this investigation using US banks could serve as a precursor for future bank CSR research and help develop CSR reporting guidelines for banks in emerging economies.

This investigation benefits researchers, customers, banking executives, regulators and activist groups.

This investigation benefits researchers, customers, banking executives, regulators and activist groups. First, the authors show that in addition to customers, analysts and the financial market appreciates bank CSR strengths. Second, despite sophisticated financial reporting by banks, analysts correctly distinguish and construe bank CSR strengths. Third, the authors demonstrate a method for bank marketing researchers to validate genuine bank CSR activity, as well as provide additional support for customer related bank CSR outcomes. Fourth, the findings highlight the importance for banks to have high-quality CSR reporting. This might be especially helpful to a bank rebuilding its reputation after a CSR failure. Finally, this investigation using US banks could serve as a precursor for future bank CSR research and help develop CSR reporting guidelines for banks in emerging economies.

The purpose of this paper is to investigate the effect of the replacement of natural coarse aggregate (NCA) with different percentages of recycled coarse aggregate (RCA) on properties of low calcium fly ash (FA)-based geopolymer concrete (GPC) cured at oven temperature. Further, this paper aims to study the effect of partial replacement of FA by ground granulated blast slag (GGBS) in GPC made with both NCA and RCA cured under ambient temperature curing.

M25 grade of ordinary Portland cement (OPC) concrete was designed according to IS: 10262-2019 with 100% NCA as control concrete. Since no standard guidelines are available in the literature for GPC, the same mix proportion was adopted for the GPC by replacing the OPC with 100% FA and W/C ratio by alkalinity/binder ratio. All FA-based GPC mixes were prepared with 12 M of sodium hydroxide (NaOH) and an alkalinity ratio, i.e. sodium hydroxide to sodium silicate (NaOH:Na₂SiO₃) of 1:1.5, subjected to 90^°C temperature for 48 h of curing. The NCA were replaced with 50% and 100% RCA in both OPC and GPC mixes. Further, FA was partially replaced with 15% GGBS in GPC made with the above percentages of NCA and RCA, and they were given ambient temperature curing with the same molarity of NaOH and alkalinity ratio.

The workability, compressive strength, split tensile strength, flexural strength, water absorption, density, volume of voids and rebound hammer value of all the mixes were studied. Further, the relationship between compressive strength and other mechanical properties of GPC mixes were established and compared with the well-established relationships available for conventional concrete. From the experimental results, it is found that the compressive strength of GPC under ambient curing condition at 28 days with 100% NCA, 50% RCA and 100% RCA were, respectively, 14.8%, 12.85% and 17.76% higher than those of OPC concrete. Further, it is found that 85% FA and 15% GGBS-based GPC with RCA under ambient curing shown superior performance than OPC concrete and FA-based GPC cured under oven curing.

The scope of the present paper is limited to replace the FA by 15% GGBS. Further, only 50% and 100% RCA are used in place of natural aggregate. However, in future study, the replacement of FA by different amounts of GGBS (20%, 25%, 30% and 35%) may be tried to decide the optimum utilisation of GGBS so that the applications of GPC can be widely used in cast in situ applications, i.e. under ambient curing condition. Further, in the present study, the natural aggregate is replaced with only 50% and 100% RCA in GPC. However, further investigations may be carried out by considering different percentages between 50 and 100 with the optimum compositions of FA and GGBS to enhance the use of RCA in GPC applications. The present study is further limited to only the mechanical properties and a few other properties of GPC. For wider use of GPC under ambient curing conditions, the structural performance of GPC needs to be understood. Therefore, the structural performance of GPC subjected to different loadings under ambient curing with RCA to be investigated in future study.

The replacement percentage of natural aggregate by RCA may be further enhanced to 50% in GPC under ambient curing condition without compromising on the mechanical properties of concrete. This may be a good alternative for OPC and natural aggregate to reduce pollution and leads sustainability in the construction.

The existing literature on business incubators has rarely addressed network establishments thus far. The purpose of this study is to shed light on the process of network formation and its structure during the incubator creation process. The study focuses on establishing a network involving three key types of partners in the initial phase of setting up four agribusiness incubators. These partners come from universities, research organisations and private companies operating in a developing context.

This study uses social network theory, using a combination of qualitative and network survey approaches in Kenya, Uganda and Zambia. The qualitative data were used to investigate partnership formation, while the network survey was conducted to map the organisational network of business incubator partners. Constructs of social network theory, including relational content, relational form, centrality of actors and instrumentality, were qualitatively measured in this study.

The findings indicate that partners rely on previous informal relationships, which are formalised during the creation of business incubator partnerships. In the African context, once these relationships are formalised, they become part of what is referred to as business networks, irrespective of the nature of the relationship content. Personal networks serve as precursors to establishing organisational networks that cater to incubated firms. Incubator partners facilitate the networking process and enhance the formation of new connections in the early-stage partnership-based tripartite business incubators. They act as brokers, bridging structural holes by coordinating actors across the hole and linking disconnected nodes by activating their sub-networks. The results reveal that the partners' level of embeddedness in various organisational settings increases the diversity of contacts integrated into the incubator networks. In terms of relational content, partners tend to perceive the ties as business-oriented, even though the content of the relationship may differ. The strength of relationships depends on their formalization and the frequency of interaction.

The findings of the study contradict the reviewed social network literature, emphasising the necessity to adapt methodological approaches based on the cultural and institutional context in which they are applied. The social network questionnaire requires modification when used in different contexts and settings. Specifically, methodologies should be adjusted in situations where actors need to be discreet concerning their various relationships. It is important to note that organisational culture does influence actors' behaviours.

This study is deemed relevant to managers and practitioners of business incubators alike. It highlights that understanding the contextual factors that influence networking practices, the type and strength of networks and the resources provided to participants are crucial elements that should be considered in future policy and intervention initiatives.

This paper addresses the identified gap in examining network formation during the establishment of business incubators. The research is significant as it provides insights into networking at the incubator level of analysis within a tripartite business incubator setup. Ultimately, this paper helps increase our understanding of networking within the context of emerging countries.

Assessing project criticality in a project portfolio (PP) is of great practical significance to improve robustness from damage. While project criticality assessment has increased diversity in approaches, the understanding of vulnerable project impacts is still limited. To promote a better understanding of assessing project criticality, a vulnerability measurement model is constructed.

First, integrating the tasks, projects and corresponding relationships among them, a project portfolio network (PPN) is constructed. Second, the project's vulnerability is measured by combining the topological structure and functional attributes. Third, project criticality is assessed by the vulnerability measurement results. Lastly, the proposed model is applied in a numerical example to illustrate its suitability and effectiveness.

For academia, this study provides a novel perspective on project vulnerability measurement and expands project criticality assessment tools. For practitioners, the straightforward model provides an effective tool for assessing project criticality and contributes to enhancing project portfolio management (PPM).

The impact of the task on the project is considered in this study. Topological structure and functional attributes are also integrated for measuring project vulnerability due to the impact of random attacks in an uncertain environment, providing a new perspective on the requirements of project criticality assessment and the measurement of project vulnerability.

Social recommendation has been recognized as a kind of e-commerce with large potential, but how social recommendations influence consumer decisions is still unclear. This paper aims to investigate how recommendations from different social ties influence consumers’ purchase intentions through both behavior and brain activity.

Utilizing behavioral (N = 70) and electroencephalogram (EEG) (N = 49) experiments, this study explored participants’ behavior and brain responses after being recommended by different social ties. The data were analyzed using statistical inference and event-related potential (ERP) analysis.

Behavioral results show that social tie strength positively impacts purchase intention, which can be fitted by a logarithmic model. Moreover, recommender-to-customer similarity and product affect mediate the effect of tie strength on purchase intention serially. EEG findings show that recommendations from weak tie strength elicit larger N100, N200 and P300 amplitudes than those from strong tie strength. These results imply that weak tie strength may motivate individuals to recruit more mental resources in social recommendation, including unconscious processing of consumer attention and conscious processing of cognitive conflict and negative emotion.

This study considers the effects of continuous social ties on purchase intention and models them mathematically, exploring the intrinsic mechanisms by which strong and weak ties influence purchase intentions through recommender-to-customer similarity and product affect, contributing to the applications of the stimulus-organism-response (SOR) model in the field of social recommendation. Furthermore, our study adopting EEG techniques bridges the gap of relying solely on self-report by providing an avenue to obtain relatively objective findings about the consumers’ early-occurred (unconscious) attentional responses and late-occurred (conscious) cognitive and emotional responses in purchase decisions.

This study aims to practically determine the optimum proportion of aggregates to attain the desired strength of geopolymer concrete (GPC) and then compare the results using established analytical particle packing methods. The investigation further aims to assess the influence of various amounts of recycled aggregate (RA) on properties of low-calcium fly ash-based GPC of grade M25.

Fine and coarse aggregates were blended in various proportions and the proportion yielding maximum packing density was selected as the optimum proportion and they were compared with analytical models, such as Modified Toufar Model (MTM) and J. D. Dewar Model. RAs for this study were produced in laboratory and they were used in various amounts, namely, 0%, 50% and 100%. 12M NaOH solution was mixed with Na₂SiO₃ in the ratio of 1:2. The curing of concrete was done at the temperatures of 60° and 90 °C for 24, 48 and 72h.

The experimentally obtained optimum proportion of coarse to fine aggregate was 60:40 for all amounts of RA. Meanwhile, MTM and Dewar Model resulted in coarse aggregate to fine aggregates as 40:60, 45:55, 55:45 and 55:45, 35:65, 60:40, respectively, for 0% 100% and 50% RAs. The compressive strength of GPC elevated with the increase in curing regime. In addition, the ultrasonic pulse velocity also displayed a similar trend as that of strength.

The GPC with 50% RAs may be considered for use, as it exhibited superior properties compared to GPC with 100% RAs and was comparable to GPC with natural aggregates. Furthermore, compressive strength is correlated with split tensile strength and ultrasonic pulse velocity.