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Article
Publication date: 2 January 2019

Alireza Ardalan, Roya K. Ardalan, Shailaja Rao and Kay B. Alexander

There has been a lack of an information systems architecture which explicitly illustrates processes that make and maintain the anonymity of student responses in an online system…

Abstract

Purpose

There has been a lack of an information systems architecture which explicitly illustrates processes that make and maintain the anonymity of student responses in an online system for student opinion survey of faculty teaching. The purpose of this paper is to present an information systems architecture which explicitly shows the process of disassociation of student credentials and their responses. It also shows that the process guarantees a complete anonymity of student responses.

Design/methodology/approach

The system was developed to satisfy the needs of students, faculty and administrators of a higher education institution with several objectives, one of which is the complete anonymity of student responses.

Findings

The system developers were successful in designing and developing a student opinion survey system that keeps student responses completely anonymous.

Research limitations/implications

The anonymity of student responses improves students’ trust in the survey system and may increase student response rate. Other factors that affect student response rate should be analyzed to determine their effect on student response rate and adjust those factors to improve student response rate.

Practical implications

This paper shares the success of developing an information system that makes student responses anonymous. The goal is to increase the discussion of this topic among researchers and practitioners to further improve the system to increase student response rate.

Originality/value

The proposed information system architecture is novel because it keeps student responses completely anonymous.

Details

The International Journal of Information and Learning Technology, vol. 36 no. 1
Type: Research Article
ISSN: 2056-4880

Keywords

Article
Publication date: 30 January 2009

Ali Ardalan and Roya Ardalan

Efficient operation of supply chain management (SCM) software is highly dependent on performance of its data structures that are used for data storage and retrieval. Each module…

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Abstract

Purpose

Efficient operation of supply chain management (SCM) software is highly dependent on performance of its data structures that are used for data storage and retrieval. Each module in the software should use data structures that are appropriate for the types of operations performed in that module. The purpose of this paper is to develop and introduce an efficient data structure for storage and retrieval of data related to capacity of resources.

Design/methodology/approach

A major aim of supply management systems is timely production and delivery of products. This paper reviews data structures and designs an efficient data structure for storage and retrieval of data that is used in the scheduling module of SCM software.

Findings

This paper introduces a new data structure and search and update algorithms. This data structure can be used in SCM software to record the availability of non‐storable resources.

Originality/value

This is the first paper that discusses the role of data structures in SCM software and develops a data structure that can be used in the scheduling routine of SCM systems. Scheduling is one of the complex modules of SCM software. Some of the special characteristics related to capacity of resources to develop a data structure that can be efficiently searched and updated as part of scheduling routines were used in the new data structure. This data structure is a modified version of threaded height‐balanced binary search tree. Each node in the proposed tree has one more key than a node in the ordinary threaded height‐balanced binary search tree. The available algorithms in the literature on search and update operations on height‐balanced binary search trees are modified to suit the proposed tree.

Details

Industrial Management & Data Systems, vol. 109 no. 1
Type: Research Article
ISSN: 0263-5577

Keywords

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