V. Deepa, Hasnan Baber, Balvinder Shukla, R. Sujatha and Danish Khan
The COVID-19 pandemic pushed organizations across the world to suddenly adopt work from home at a mass scale to maintain business continuity. This study aims to investigate the…
Abstract
Purpose
The COVID-19 pandemic pushed organizations across the world to suddenly adopt work from home at a mass scale to maintain business continuity. This study aims to investigate the influence of lack of social interaction in work from the home arrangement on employee work effectiveness.
Design/methodology/approach
The data were analysed using the partial least square (PLS) structural equation modelling (SEM) approach, a nonparametric method based on total variance, through SmartPLS software 3.0. The data were collected from 399 participants in India using the snowball sampling technique. The target populations were the people who were working from home due to the pandemic and by asking them to forward the survey link in their network.
Findings
The results suggest that social interaction has a significant positive impact on work effectiveness. However, this impact is not affected by the employee's perceived benefits of maintaining social distancing during the pandemic. The study also found that social interaction is important for both genders and found no significant difference in the relationship between social interaction and work from home effectiveness for male and female employees.
Practical implications
This study will be useful for human resource practitioners and managers as they build strategies to adopt work from home as a regular practice even in non-pandemic situations.
Originality/value
This study is the first to examine the influence of lack of social interaction on the work from home effectiveness during the COVID-19 times. It examines the moderating role of the perceived benefits of maintaining social distancing and gender on the effect of lack of social interaction as a barrier to work from home effectiveness.
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Balvinder Shukla, Tahir Sufi, Manoj Joshi and R. Sujatha
The COVID-19 crisis has affected almost all the global sectors. The hotel industry, however, was hit hardest challenging the leadership. This study, therefore, attempts to explore…
Abstract
Purpose
The COVID-19 crisis has affected almost all the global sectors. The hotel industry, however, was hit hardest challenging the leadership. This study, therefore, attempts to explore the challenges hospitality leadership in India face to navigate the crisis. The study additionally addresses how leaders manage the expectations of key stakeholders; communicate hard decisions with employees, pursue strategies for revival and explores the role of technology to survive the crisis.
Design/methodology/approach
The study adopts a qualitative approach involving structured interviews with 16 senior hospitality leaders consisting of CEO, vice president, general managers, directors, entrepreneur and general managers from various organisations like hotels, restaurant chains, food services and facilities management services. Data were content analysed involving coding techniques.
Findings
The leadership challenges included making customers and employees feel safe, optimising operations, agility and resilience of leaders, maintaining a balance between stakeholders, managing employee stress and ensuring cash reserves. The study found that leaders manage the expectation of various stakeholders by maintaining balance, demonstrating empathy and agility. The hard decisions are communicated with the employees through involvement, empathy and alleviating stress.
Research limitations/implications
The study contributes by identifying twelve themes from the participants' responses under five major themes-labelled as leadership challenges, managing stakeholders, communicating with the employees, the role of technology and best practices of surviving the crisis. Future research can be conducted on such sub-themes in different countries.
Practical implications
As the tourism industry in India is recovering after the second wave, the governments along with all stakeholders, must launch special events for promoting the tourism sector. Safety measures like making vaccination certificates for all tourists and employees of the tourism sector should be made mandatory. Further, special certification following the COVID-19 protocol needs to be introduced for hotels and catering establishments. A fund generated from the sector's direct tax contribution needs to be established to support the employees.
Social implications
The study has several social implications. The study results can unite all industry stakeholders to shape the post-pandemic era through collaboration. Empathetic leadership can take the industry out of chaos by balancing the interests of the various stakeholders of society. The pandemic has proven that we all are vulnerable to risks and challenges; leaders have a vital role in taking proactive steps to ensure that such uncertainties do not cause unprecedented damage.
Originality/value
This study expanded the research on the hospitality leadership challenges in managing crises in the backdrop of the crisis caused by COVID-19 pandemic. The conceptual model, variables, themes and sub-themes utilised are original contributions to the hospitality literature.
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Anchal Garg, Balvinder Shukla and Graham Kendall
The purpose of this paper is to identify the most significant barriers to successful implementation of information technology (IT) in higher educational institutions (HEIs) of…
Abstract
Purpose
The purpose of this paper is to identify the most significant barriers to successful implementation of information technology (IT) in higher educational institutions (HEIs) of India. Although, educational institutions are investing in IT, they have been not been able to leverage it the same way as other business organizations. The present investigation will assist the management of HEIs to distinguish the key barriers affecting productive IT implementations and further take appropriate measures to deal with it.
Design/methodology/approach
For the purpose of the study, focus group and semi-structured interviews were conducted with academicians, administrators, functional heads, and IT staff from various HEIs of India. This research attempts to discover the major barriers to successful implementation of IT in HEIs using an interpretive structural modeling (ISM) methodology. Furthermore, structural analysis and classification of barriers is done using MICMAC analysis.
Findings
The results identified the key barriers that if dealt with can help overcome or lower the effect of other barriers preventing successful IT implementation in HEIs. It will provide roadmap to managers and administrators of HEIs to take appropriate measures to overcome the major barrier to effective implementation of IT.
Originality/value
Several authors have been studied barriers to implementation of IT in industry and educational institutions, but none have found the most significant barriers that affect successful implementation of IT and may drive other impediments. This research draws inspiration and is being carried out for Indian HEIs.
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Mahmood Al-khassaweneh and Omar AlShorman
In the big data era, image compression is of significant importance in today’s world. Importantly, compression of large sized images is required for everyday tasks; including…
Abstract
In the big data era, image compression is of significant importance in today’s world. Importantly, compression of large sized images is required for everyday tasks; including electronic data communications and internet transactions. However, two important measures should be considered for any compression algorithm: the compression factor and the quality of the decompressed image. In this paper, we use Frei-Chen bases technique and the Modified Run Length Encoding (RLE) to compress images. The Frei-Chen bases technique is applied at the first stage in which the average subspace is applied to each 3 × 3 block. Those blocks with the highest energy are replaced by a single value that represents the average value of the pixels in the corresponding block. Even though Frei-Chen bases technique provides lossy compression, it maintains the main characteristics of the image. Additionally, the Frei-Chen bases technique enhances the compression factor, making it advantageous to use. In the second stage, RLE is applied to further increase the compression factor. The goal of using RLE is to enhance the compression factor without adding any distortion to the resultant decompressed image. Integrating RLE with Frei-Chen bases technique, as described in the proposed algorithm, ensures high quality decompressed images and high compression rate. The results of the proposed algorithms are shown to be comparable in quality and performance with other existing methods.