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1 – 5 of 5Sheetal Desai, Srinivasa A. Rao and Shazi Shah Jabeen
This paper aims to focus on how reciprocal mentoring can be used to make employees culturally intelligent.
Abstract
Purpose
This paper aims to focus on how reciprocal mentoring can be used to make employees culturally intelligent.
Design/methodology/approach
The authors conceptualize and present this framework based on their own experience in the industry and research experience in cross-cultural competence.
Findings
Workplaces today are characterized by high levels of multiculturalism. In such environments, being able to navigate this cultural diversity can be a challenge to many employees. Investing in cross-cultural training can be costly and time consuming. In such a situation, what better way to learn and appreciate cultural diversity than by bringing together two individuals from different cultural backgrounds. Reciprocal mentoring for developing cultural intelligence can be an effective practice that organizations can follow to develop intercultural competence amongst its employees.
Practical implications
The concept presented in the paper can help organizations use their own existing resources to develop cultural intelligence company-wide, rather than choosing third-party interventions/training.
Originality/value
This paper provides executives with a quick glimpse into the concept of cultural intelligence and its development through reciprocal mentoring.
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Wendi Arant‐Kaspar, Henry Carter, Sheetal Desai, John Byrd and Douglas Hahn
This article seeks to look at the need for a library request system that can provide improved relationship management and personalized services, and meets public expectations…
Abstract
Purpose
This article seeks to look at the need for a library request system that can provide improved relationship management and personalized services, and meets public expectations about advances in technology and self‐service applications. In this case, a homegrown solution fills a need in an efficient, cost‐effective and gratifying manner.
Design/methodology/approach
After investigating established reserves systems and finding them lacking in relationship and process management features, the libraries got to the point where library staff started looking for internal solutions to request tracking and workflow issues when a homegrown automated solution was discovered; Library Systems, the libraries' internal technical support unit, had developed a very versatile “Helpdesk” system that tracked the status of computer work and problem requests. This system had been adapted by other libraries and organizations around the country for a similar purpose and provided a simple yet versatile interface that would lend itself well to developing a system for reserve request tracking and process management.
Findings
After making use of this system over three terms including a busy Fall 2006, ResDesk has made a huge positive impact on workflow and communication. Instructors can, and do, check the status of their requests at their own discretion resulting in fewer visits from stressed out instructors. The system itself has been phenomenal in managing the request, allowing reserves processing, even though there are more requests than ever, to be more efficient than ever. For comparison, even though the number of requests has steadily increased, the amount of processing time, with the implementation of ResDesk, has steadily decreased.
Originality/value
While there have been many articles published on customer‐relationship management systems, they are firmly entrenched in the business sector and there has been little discussion in library literature about a system that would automate all communications and workflows surrounding interaction with patrons, from request to completion.
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Kanan Elumalai and Anjani Kumar
This paper aims to analyze relative contribution of intensive margin (IM) and extensive margin (EM) to growth in India's agricultural exports for the period 2001 to 2020. It also…
Abstract
Purpose
This paper aims to analyze relative contribution of intensive margin (IM) and extensive margin (EM) to growth in India's agricultural exports for the period 2001 to 2020. It also analyses the determinants of IM and EMs through a standard gravity model.
Design/methodology/approach
The study uses export data from United Nations Comtrade, which is accessed through World Integrated Trade Solution (WITS) software. Data for the period 2001 to 2020 were compiled for analysis using the Harmonized System (HS) of commodity classification system at the six-digit level. This study decomposed the contribution of IM and EM in the growth of Indian agricultural trade by using Hummels and Klenow's approach. After performing the export decomposition analysis, the authors analyze the factors influencing IM and EM by using the Tobit regression model and Poisson pseudo-maximum-likelihood (PPML) method of estimation.
Findings
The EM grew at 1.24% per annum, while the intensive margin (IM) increased by 0.23%. The contribution of growth at the EM increased from 58.8% in 2001 to 70.2% in 2020. Export growth along the IM was relatively high for animal products and agricultural raw materials, while growth at the EM was an important contributor to the export growth of horticultural and processed agricultural products. There was a positive and significant effect of the free trade agreement (FTA) on export margins.
Research limitations/implications
More disaggregated commodity-specific studies on value chain analysis would provide valuable insights into the issues hindering exports and realizing the untapped export potential.
Originality/value
There is a scarcity of holistic and recent studies illustrating the role of IM and EMs in agricultural trade growth, covering a large number of commodities and geographies associated with Indian agricultural trade. The study would be helpful to the stakeholders in facilitating informed policy decisions.
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Narpat Ram Sangwa, Kuldip Singh Sangwan, Kiran Kumar Paidipati and Bhavin Shah
This paper aims to present a simple and innovative fuzzy methodology-based lean performance measurement system (L-PMS) for an Indian automotive supply chain. The paper also…
Abstract
Purpose
This paper aims to present a simple and innovative fuzzy methodology-based lean performance measurement system (L-PMS) for an Indian automotive supply chain. The paper also enlightens the influence of coronavirus disease 2019 (COVID-19) on supply chains and the practical implications of the unprecedented disruptions on the performance measurement systems.
Design/methodology/approach
The L-PMS is divided into three phases. In the first phase, the key performance indicator (KPI) list, as deemed fit by the organization, is prepared using literature and suggestions from the case organization. The list contains 61 KPIs measuring 24 performance dimensions in seven functional areas of the supply chain. In the second phase, the KPI performance data (actual, best and worst) are collected using the enterprise resource planning (ERP) system. In the last phase, the leanness score of the case organization is calculated at four levels – KPI, dimension, functional area and overall organization.
Findings
The overall leanness score of the case organization is 60%. The case organization uses KPIs from all seven functional areas, but it needs to improve the number of KPIs in administration and supplier management functional areas. The case organization uses only quantitative KPIs. However, the performance dimensions at the middle level are adequate. The leanness level of the case organization in different areas is highly variable (ranges from 45% to 91%).
Research limitations/implications
The major limitation of the study is that the case study is done at a single organization.
Practical implications
The managers at the different levels of the hierarchy can use the lean performance measurement score to leverage the better performing areas/dimensions/KPIs and improve poor performing areas/dimensions/KPIs. The lean performance measurement at functional area level can help leadership to give responsibility to different people for the improvement of leanness with respect to different dimensions/functional areas. The disruptive impact of COVID-19 should clearly be understood by the managers to make appropriate decisions based on the severity as measured at different levels.
Originality/value
According to the authors' best knowledge, this is the first lean performance measurement application at the four hierarchical levels (KPI, performance dimension, functional area and overall organization).
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