Untitled

Sawhney, N.; Sawhney, S.

doi:10.1023/a:1020996908364

Cited by 10 publications

(5 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Citytech Software firm in Calcutta organized an in-house innovation competition based on trending technology. One group in that contest started working on Artificial Intelligence enabled cameras to require pictures of individuals coming into the workplace notice the person age, feelings ,gender and alerts the concern person about the security thread discussed by Shreyak Sawhney et al [9] The CCTV cameras which detects the employee face and marks the attendance of that person and calculates their salary based on how many hours they worked in office.…”

Section: Artificial Intelligence To Mark Attendencementioning

confidence: 99%

AI-Based Attendance Monitoring System

2019

IJITEE

View full text Add to dashboard Cite

Attendance Monitoring System is essential in all organizations for checking the performance of students and it is not easy task to check each and every student is present or not. In all organization attendance are taken manually by calling their register numbers or names and noted in attendance registers issued by the department heads as a proof and in some organizations the students wants to sign in these sheets which are stored for future references. This technique is repetitive, complex work and leads to errors as few students regularly sign for their absent students or telling proxy attendance of the absent students. This method additionally makes it more complex to track all the students attendance and difficult to monitoring the individual student attendance in a big classroom atmosphere. In this article, we use are using the technique of utilization face detection and recognition framework to contunisuly recognize students going to class or not and marking their attendance by comparing their faces with database to match and marking attendance. This facial biometric framework takes a picture of a person using camera and contrast that image and compare the image with the image with is stored at the time of enrolment and if it matches marks the attendance and monitor the student performance contunisuly. We may use the concept of artificial intelligence concept to monitor student attendance like capturing the motion pictures of the student when present in class to analyze the student data how much time the student presents in class.

show abstract

Section: Artificial Intelligence To Mark Attendencementioning

confidence: 99%

AI-Based Attendance Monitoring System

2019

IJITEE

View full text Add to dashboard Cite

show abstract

“…This incremental approach is evident in most transition models proposed in the literature [10,11,[31][32][33][34][35] and generally focuses on the services' role in the interaction between suppliers and customers. Opposite to the incremental approach, the radical perspective posits that the competitive advantage is achieved not by progressively moving towards solutions, but by changing business model and organizational structure quite disruptively [9,[36][37][38][39]. Davies [40] argues that such a shift is difficult to accomplish without challenging the current power structure, rejecting traditional ways of thinking and parts of the old culture, creating new organizations, and establishing new capabilities.…”

Section: Servitization Patternmentioning

confidence: 99%

“…Indeed, most researchers agree on the need to make the service organization an independent profit centre [11,17,40,51] for several reasons. First, the consolidation of a dedicated organization allows to better control profits and losses related to service activities [52]; second, it enables the relevance and (potential) benefits of the service business to be recognized within the company: this is particularly important in a traditionally product focused business [53]; third, the profit-centre organization acts as a shelter for the development and support of a service culture [11]; and fourth, running the product-service business separately mitigates the risk of moving outside existing organizational capabilities [37].…”

Section: Servitization Enablersmentioning

confidence: 99%

Research vs. Practice on Manufacturing Firms’ Servitization Strategies: A Gap Analysis and Research Agenda

Perona

Saccani

Bacchetti

2017

Systems

View full text Add to dashboard Cite

Servitization in the manufacturing industry implies a shift from an offer based mainly on standard goods, to a wider value proposition composed of solutions aimed at solving specific customers' problems, obtained by integrating tangible and intangible elements. The purpose of this paper is to investigate the servitization strategies of manufacturing firms, more specifically about: (i) how manufacturing companies move toward servitization (servitization pattern); (ii) how they achieve the capabilities needed; and (iii) which factors enable this transition. We did so by comparing the state of the art of academic research with a qualified sample of case studies of global companies that famously improved their competitiveness by shifting from products to solutions. The results show some gaps between research and practice, concerning in particular: the impact (either transformational or integrative) of servitization on the manufacturing organization; the role of financial resources in shaping the capability achievement strategy, particularly for external acquisitions, and; the role of servitization enablers poorly considered by the extant literature, such as time, leadership and continuity, operational excellence and digital technologies. These findings lead to the definition of seven formalized research directions, thus outlining an agenda for future research.

show abstract

“…I ncreasingly more complex customer needs and decreasing product margins are currently putting pressure on traditional product-oriented companies to search for new business opportunities. One frequently suggested means of responding to these challenges is to extend the service business (Oliva & Kallenberg, 2003;Sawhney, Balasubramanian & Krishan, 2004;Neu & Brown, 2005). Over the last couple of years, most product-oriented companies have explored the numerous opportunities that both traditional customer service (CS) and product-related services (PRS) can provide.…”

Section: Introductionmentioning

confidence: 99%

“…Both CS and PRS concentrate on the primary customer activity chain of operating products such as machines and pieces of equipment. In terms of the service opportunity matrix proposed by Sawhney, Balasubramanian and Krishan (2004), CS and PRS explore growth opportunities only by adding new service activities to the primary customer activity chain (see Figure 1).…”

Section: Introductionmentioning

confidence: 99%

Exploring the Effect of Cognitive Biases on Customer Support Services

2007

View full text Add to dashboard Cite

In order to meet the increasingly more complex needs of customers and respond to decreasing product margins, product-oriented firms have developed a growing interest in extending their service business. Over the last couple of years, most product-oriented companies have explored the numerous opportunities offered by traditional customer service and productrelated services. Currently, these opportunities have reached a certain level of maturity. A number of practitioners and theorists stress the growing importance of customer support services. However, the entry point to the theorizing is the observation that very few productoriented firms have already innovated customer support services successfully. In most firms, cognitive biases limit the motivation of managers to facilitate creative potential for new customer support services. In this paper, four cognitive biases are elaborated through 12 mini-cases and 8 in-depth cases. The results suggest that disbelief in the financial potential, risk aversion, tendency to set over-ambitious objectives, and fundamental attribution error plays a critical role in creating customer support services. These four cognitive biases, and the key factors in overcoming them, provide guidance for managers who aim to facilitate creative potential for customer support services.

show abstract

Untitled

Cited by 10 publications

References 9 publications

AI-Based Attendance Monitoring System

AI-Based Attendance Monitoring System

Research vs. Practice on Manufacturing Firms’ Servitization Strategies: A Gap Analysis and Research Agenda

Exploring the Effect of Cognitive Biases on Customer Support Services

Contact Info

Product

Resources

About