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The motivation to participate in crowdsourcing (CS) platforms is an emerging challenge. Although researchers and practitioners have focused on crowd motivation in the past, the results obtained through such practices have not been satisfactory. Researchers have left unexplored research areas related to CS pillars, such as the evolution of the crowd’s primary motivations, seekers applying effective policies and incentives, platform design challenges and addressing task complexity using the synchronicity of the crowd. Researchers are now more inclined to address these issues by focusing on sustaining the crowd’s motivation; however, sustaining the crowd’s motivation has many challenges.

To fill this gap, this study conducted a systematic literature review (SLR) to investigate and map the challenges and factors affecting sustained motivation during CS with the overcoming implications. Studies that satisfied the inclusion criteria were published between 2010 and 2021.

Important sustainable factors are extracted using the grounded theory that has sustained participation and the factors' cohesion leads to the identification of challenges that the pillars of CS face. Crowds being the most vital part of CS contests face the challenge of engagement. The results reported the factors that affect the crowd’s primary and post-intentions, perceived value of incentives and social and communal interaction. Seekers face the challenge of knowledge and understanding; the results identify the reason behind the crowd’s demotivation and the impact of theories and factors on the crowd's psychological needs which helped in sustaining participation. Similarly, the platforms face the challenge of being successful and demanding, the results identify the latest technologies, designs and features that seekers proclaim and need the platforms designer's attention. The identified task challenges are completion and achievement; the authors have identified the impact of trait of task and solving mechanisms that have sustained participation.

The study identifies, explores and summarizes the challenges on CS pillars researchers are facing now to sustain contributions by keeping participants motivated during online campaigns. Similarly, the study highlights the implication to overcome the challenges by identifying and prioritizing the areas concerning sustainability through the adoption of innovative methods or policies that can guarantee sustained participation.

Measuring the success of microfinance institutions (MFIs) using a single efficiency value and then exploring its determining factors might be misleading. Hence, this study decomposed the efficiency measure into three divisions, namely operational, financial sustainability and social outreach. Subsequently, the authors identified factors affecting these efficiencies in the second stage regression analysis.

This study employed the network data envelopment analysis approach to evaluate each division of efficiency of 90 MFIs from 2013 to 2018 and used second-stage regression techniques (Tobit and Truncated) to examine the effect of institutional factors.

The authors’ efficiency analysis revealed that financial sustainability and social outreach were responsible for the low overall efficiency. The second stage analysis revealed the negative influence of institutional factors such as efficiency wage (particularly among small MFIs) on financial sustainability, social outreach and overall efficiencies. Staff turnover reduced operational, financial and overall efficiencies, particularly for large MFIs. The presence of female board members and staff improved the efficiency of MFIs, thus highlighting the pivotal role of women in the success of MFIs. Besides, the effects of regional location of MFIs, regulation and legal status on efficiencies were further discussed.

The study has uniquely evaluated three different types of efficiency in MFIs and employed conventional techniques for the second-stage regression to identify the determinants of efficiency. The findings will enable managers to make appropriate decisions to enhance their organisational efficiency.

This study aims to investigate the factors that influence the sustainable online purchase intentions of consumers during the COVID-19 pandemic. This study also examines the role of relational benefit and site commitment in the study model.

Data were obtained from a survey of 356 Bangladeshi consumers who were voluntarily using the internet during the COVID-19 pandemic. Data were analyzed using partial least square structural equation modelling with Smart PLS 3.0 and SPSS V25 tools.

The results show a positive and significant relationship between consumers’ personal innovativeness and impulse purchase orientation with their relational benefit and site commitment, social influence with relational benefit, relational benefit with site commitment, site commitment with the intention to purchase. Moreover, the study found that relational benefit mediates the relationship between impulse purchase orientation and social influence with site commitment. The results also indicate that site commitment mediates the relationship between personal innovativeness and impulse purchase orientation with the intention to purchase. The results further indicate that site commitment mediates the relationship between relational benefit and intention to purchase.

The findings allow online stores to consider crucial factors in their policies when making strategic decisions regarding the factors impacting consumers’ online purchasing intention during the COVID-19 pandemic.

In this study, a research framework is developed with a focus on the sustainable consumer intention to purchase. This study, therefore, adds to the existing literature by analyzing the factors that determine online purchase intentions during the COVID-19 pandemic in Bangladesh, given the limited number of studies on the online consumer behavioral intentions in related circumstances to COVID-19.

This current study draws a comparison between the performance indicators of public sector banks (PSBs) and private sector banks (or non-PSBs) in India. The study controls for the impact of COVID-19.

The study uses strongly balanced panel data for seven years of 12 PSBs and 10 non-PSBs from the Nifty PSU Bank Index and Nifty Private Bank Index. The study applies panel data methodology to arrive at the results.

The study demonstrates that the behavior of indicators of performance and returns volatility for PSBs and non-PSBs differs substantially. While factors like capital adequacy ratio (CAR), cost management (COST), liquidity (LIQ), inflation and economic growth exhibit a similar impact on both categories of Indian banks, the effect of credit risk (RISK), market power (POWER) and COVID-19 on performance and returns stability is different for PSBs and non-PSBs.

There is a limited sample size of banks in India.

PSBs and non-PSBs need distinct treatments when calibrating performance indicators.

The performance and stability of banks are essential for society at large, the depositors and the investors.

The study provides vibrant implications for insight for banks to calibrate the variables that determine performance and stability, regulators and policymakers for effective governance of the banking ecosystem and effective utilization of public funds and capital. The findings are relevant for policymaking today, when the government is considering the privatization of a few PSBs.

This study aims to examine the impact of intellectual capital (IC) efficiency on bank’s operational, financial and market performance.

The study examined 59 banks for 5 years to ends up with 295 observations. The independent variable is the modified value added IC component; the dependent variables are performance indicators (return on assets [ROA], return on equity [ROE] and Tobin’s Q [TQ]).

The findings deduced from the empirical results demonstrate that there is a positive relationship between intellectual capital efficiency and financial performance (ROE) and market performance (TQ).

The results of this study may give a wake-up call for banks to examine the reasons of imperfect relationship between the IC and asset efficiency (ROA).

Intellectual capital (IC) plays a pivotal role in the high-tech and knowledge-based economic sectors. With the emergence of FinTech, which, with respect to the banking sector, is merging high-tech with the k-economy, there is an emerging need to highlight the importance and understand the dynamics of bank IC. With respect to Gulf Cooperation Council (GCC) economies, where FinTech has become de rigueur, banking is bifurcated into Islamic and banking sectors. Through comparative empirical analysis, the purpose of this paper is to examine IC efficiency in Islamic and conventional banks with a view to elucidating the impact of IC, in aggregate and decomposed into its components, on an operational, financial and market performance of Islamic banks juxtaposed with conventional banks.

Using data collected from 59 banks for five years (2012-2016) involving 295 observations, an independent variable derived from the modified value added IC (MVAIC) components are regressed against dependent bank performance indicator variables [Return on Assets (ROA), Return on Equity (ROE) and Tobin’s Q (TQ)]. Two types of control variables complete the regression analysis in this study: bank-specific and macroeconomic.

The findings elicited from the empirical results demonstrate that there is positive relationship between IC efficiency and financial performance (ROE) and market performance (TQ) in Islamic banks. In conventional banks, however, there is a positive relationship between IC and operational performance (ROE) and financial performance (ROE).

The model in this paper presents a valuable analytical framework for exploring IC efficiency as a driver of performance in dual-sector banking economies characterized by co-existence of Islamic and conventional financial institutions. In addition, this paper highlights bank management lacunae manifesting in terms of the weak nexus between: IC and asset efficiency (ROA) in Islamic banks and IC and market value (TQ) in conventional banks.

Intellectual capital (IC) is considered as a lifeblood of the high-tech and knowledge-based sectors. Therefore, there is a great need to highlight the importance of IC in the banking sector. Since the banking sector in the gulf countries is mainly based on Islamic and conventional banking, the purpose of this paper is to provide a comparative empirical analysis between IC efficiency in Islamic and conventional banks, and its impacts on a bank’s operational, financial and market performance.

This study examined 59 banks for five years to end up with 295 observations. The independent variable is the modified value added IC components; the dependent variables are performance indicators (return on assets, return on equity and Tobin’s Q). Two control variables are utilized in this study: bank-specific and macroeconomic.

The findings deduced from the empirical results demonstrate that there is a positive relationship between IC efficiency and financial performance (ROE) and market performance (TQ) in Islamic banks. However, in conventional banks, there is a positive relationship between IC and operational performance (ROE) and financial performance (ROE).

The results of this study can be used to present a successful model for the Islamic and conventional banks to concentrate more on the role of IC in enhancing the bank’s performance. In addition, the results of this study may provide a wake-up call for Islamic banks to examine the reasons for the imperfect relationship between the IC and asset efficiency (ROA), as well as for conventional banks to examine the reasons for an imperfect relationship between the IC and market value (TQ).