Proceedings of the International Conference on Industrial Engineering and Operations Management Manila, Philippines, March 7-9, 2023 realistic conclusions from it. It enables to bring out insights on topics beyond what quantitative data can provide (Gaur and Kumar 2018). Content analysis along with bibliometrics provides valuable insights into emerging research field (Ayan et al. 2022) and has found application across several studies (Gaur and Kumar 2018). 2.1 Data Collection In order to collect data for the present study, relevant literature from the database of Scopus and Science Direct were obtained, as Scopus and Science Direct are widely accepted repository of online bibliographic databases (Aria and Cuccurullo 2017). In Scopus, literature search was carried out over two rounds through different criteria to ensure relevant literature situation. In the first round under the search option, the keywords were selected as (("SUSTAINABLE" OR "SUSTAINABILITY") AND ("PAPER") AND ("PULP") AND "INDUSTRY" AND "WOOD")) within ‘TITLE, ABSTRACT, KEYWORDS’ limited to document type ‘Articles’ and within the journals pertaining to the subject area of ‘Environmental Science’, ‘Agricultural and Biological Science’, ‘Energy’, ‘Business, Management and Accounting’, and ‘Earth and Planetary’. In the second round under the search option, the choice of keywords for search were ‘("sustainable" OR "circular economy" OR "recycle" OR "recycling" OR "reuse" OR "net zero") AND ("carbon" OR "decarboni*ation" OR "wood" OR "chemical*" OR "effluent") AND "challenge*" AND ("paper and pulp" OR "pulp and paper")’ within ‘TITLE, ABSTRACT, KEYWORDS’ limited to document type ‘Articles’. In science direct database, the criteria for selection used was ‘("carbon" OR "decarboni" OR "wood" OR "chemical" OR "effluent") AND ("paper and pulp" OR "pulp and paper")’ within the body of the articles restricted to the terms ‘("sustainable" OR "circular economy" OR "recycle" OR "recycling" OR "reuse" OR "net zero") AND "challenge")’ within ‘TITLE, ABSTRACT, KEYWORDS’. The search result from Scopus elicited 143 numbers of articles for the first search, while the subsequent search gave 68 articles. The search result from Science Direct generated 405 numbers of articles (Table.1). Out of the same, through further scrutiny of the titles and reading through the abstracts, only 54 number of articles from Scopus and 33 number of articles from Science Direct were found to be relevant to the subject of concern and so the rest articles were excluded from the study. (Table.1). Out of the same, 07 papers were found to be overlapping across both the databases. Excluding the repeat articles, a total of 80 articles pertaining to the interest of the paper under study were selected for examination. Table 1. Search results across the databases used for literature extraction Databases Exclusion criteria
Articles obtained
Articles excluded
Shortlisted articles
Exclusion of repeat articles
Final articles selected
Scopus
143
117
Scrutiny of Title and Abstract Scrutiny of Title and Abstract Scrutiny of Title and Abstract
26
07
80
68
40
28
Science Direct
405
372
33
3. Data Analysis 3.1 Bibliometric Analysis
With the objective to perform Bibliometric analysis, the R-package, ‘bibliometrix’ was used. According to Aria and Cuccurullo (2017) bibliometrix is the most preferred open-source software tool for quantitative research in bibliometrics having best techniques of statistical algorithms, quality numerical routines, integrating data visualization tools and certain inbuilt data cleaning options and offers the most comprehensive science mapping of scientific literature. Further the platform is highly compatible with the bibliometric database, Scopus and automatically connects with Scopus API to collect metadata. The details of articles obtained from Science Direct were merged with that of the 54 articles obtained from Scopus in the csv file format of Scopus and so a combined csv file of 80 articles was used to extract bibliometric inference. In order to capture the research objectives stated for the study, the following graphs and plots are discussed as bibliometric inference:
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